Genetic programming with surrogate evaluation for the electric vehicle routing problem

An analysis of training models to evolve relocation rules for the container relocation problem

Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming

Introducing look-ahead into relocation rules generated with genetic programming for the container relocation problem

Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments

Leveraging More of Biology in Evolutionary Reinforcement Learning

Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments

Evolving routing policies for electric vehicles by means of genetic programming

Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm

Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment

Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment

Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment

ECF: A C＋＋ framework for evolutionary computation

DARWIN: Survival of the Fittest Fuzzing Mutators

Modeling Strong Physically Unclonable Functions with Metaheuristics

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes

Look into the Mirror: Evolving Self-dual Bent Boolean Functions

Finding Near-Optimal Portfolios with Quality-Diversity

A New Angle: On Evolving Rotation Symmetric Boolean Functions

An analysis of training models to evolve heuristics for the travelling salesman problem

Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules

Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules

Ensembles of priority rules to solve one machine scheduling problem in real-time

Machine learning and evolutionary computation in design and analysis of symmetric key cryptographic algorithms

A survey of metaheuristic algorithms for the design of cryptographic Boolean functions

A Variable Neighborhood Search Method with a Tabu List and Local Search for Optimizing Routing in Trucks in Maritime Ports

Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming

Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment

Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment

Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions

Genetic programming for electric vehicle routing problem with soft time windows

Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm

On the Difficulty of Evolving Permutation Codes

Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods

Introduction to automated design of scheduling heuristics with genetic programming

Constructing Ensembles of Dispatching Rules for Multi- objective Problems

On generalizing the power function exponent constructions with genetic programming

Evolutionary Construction of Perfectly Balanced Boolean Functions

Evolutionary computation and machine learning in security

Design Space Exploration of Clustered Sparsely Connected MPSoC Platforms

Novel ensemble collaboration method for dynamic scheduling problems

Evolutionary Construction of Perfectly Balanced Boolean Functions

Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions

Using priority rules for resource-constrained project scheduling problem in static environment

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis

A comparative study of dispatching rule representations in evolutionary algorithms

Local search based methods for scheduling in the unrelated parallel machines environment

Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey

Artificial Intelligence for the Design of Symmetric Cryptographic Primitives

Genetic programming hyperheuristic parameter configuration using fitness landscape analysis

Solving scheduling problems with genetic programming fitness landscape features

Automatic design of dispatching rules for static scheduling conditions

Designing dispatching rules with genetic programming for the unrelated machines environment with constraints

Toward more efficient heuristic construction of Boolean functions

Ensembles of priority rules for resource constrained project scheduling problem

Evolutionary algorithms for designing reversible cellular automata

CoInGP: convolutional inpainting with genetic programming

Evolutionary algorithms-assisted construction of cryptographic boolean functions

On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules

On the genotype compression and expansion for evolutionary algorithms in the continuous domain

Deep reinforcement learning based obstacle evasion

Metaheuristics for problems with limited budget of evaluations

Implicit function symbolic regression system

Enhancing transfer learning for head pose estimation

Parking space occupancy detection

Solving vehicle routing problem with time windows using different versions of the evolutionary algorithm

An attempt of reinforcement learning in a partially observable environment

Evolutionary Computation in the Energy Domain: Smart Grid Applications

Reinforced evolution of Dota 2 agent

Towards an evolutionary-based approach for natural language processing

Expression interpretability and feature analysis in symbolic regression

Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment

Adversarial Attacks in Natural Language Processing

Predictive and generative machine learning models for photonic crystals

Security Risk Optimization for Multi-cloud Applications

A comparative study of solution representations for the unrelated machines environment

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations

A Search for Additional Structure: The Case of Cryptographic S-boxes

One property to rule them all? On the limits of trade-offs for S-boxes

What Is Your MOVE: Modeling Adversarial Network Environments

Design of priority rules for resource constrained project scheduling problem.

Adversarial attacks on classification models using multi-objective optimization

Evolutionary Algorithms for the Design of Quantum Protocols

Evolutionary computation and machine learning in cryptology

Solving vehicle routing problems with symbolic regression

Optimization model for distributed application deployment

Machine Learning in Security of Voice Controllable Systems

Evaluating the efficiency of solution representations for unrelated machines scheduling

Detection and classification of text based elements on an image using deep neural networks

Metaheuristic algorithms for vehicle routing problems with time windows and pick-up and delivery

Solving vehicle routing problem using metaheuristics in static and dynamic conditions

Encryption of Communication Using Evolutionary Algorithms with Adversarial Learning

GPS spoofing parameters optimization based on evolutionary algorithms

Improving genetic algorithm performance by population initialisation with dispatching rules

Optimized activation functions for classifiers based on artificial neural networks in the domain of implementation attacks on cryptographic devices

Optimising architectures of artificial neural network classifiers in the domain of side- channel cryptographic attacks

Cellular automata based S-boxes

Creating dispatching rules by simple ensemble combination

Hyper-bent Boolean Functions and Evolutionary Algorithms

Methods for solving static scheduling problems in the unrelated machines environment

Evolutionary Algorithms for the Design of Quantum Protocols

C3PO: cipher construction with cartesian genetic programming

A characterisation of S-box fitness landscapes in cryptography

Solving classification problems using cartesian genetic programming

On the design of S-box constructions with genetic programming

Automated design of dispatching rules for scheduling problems with constraints

A survey of dispatching rules for the dynamic unrelated machines environment

Evolving priority rules for resource constrained project scheduling problem with genetic programming

Evolving dispatching rules for optimising many- objective criteria in the unrelated machines environment

Finding short and implementation-friendly addition chains with evolutionary algorithms

Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment

Optimization of GPS attack parameters with evolutionary algorithm

Application of optimization algorithms to vehicle routing problems

Classification of cancer data: Analyzing gene expression data using a fuzzy decision tree algorithm

Implementation and Application of Support Vector Machine to Classification and Regression

Solving Scheduling Problems in the Unrelated Machines Environment by Using Evolutionary Algorithms

Artificial Intelligence Methods for Creating a Computer Player in a Game

Strategy Game Model Implementation

Biome Simulation with Machine Learning

Evolutionary Heuristics for Fault Injection Parameter Space Search

Optimization of Priority Scheduling Using Machine Learning on GPU

Evolving Bent Quaternary Functions

A Search for Differentially-6 Uniform (n, n-2) Functions

Automated design of dispatching rules in unrelated machines environment

Kriptiranje komunikacije uz pomoć evolucijskih algoritama

Fuzzy Logic for the Analysis of Time Sequences

Image compression with neural networks

Analysis of molecular signature of tumors with machine learning

Path finding optimization in a dynamic environment

Handwriting recognition with machine learning and its application for text identification on payment slips

Detection of cell nuclei using evolutionary computation

A Software Framework for Interactive Visualization of Optimization Algorithms

The Design of (Almost) Disjunct Matrices by Evolutionary Algorithms

Hyper-heuristic methods for solving job shop scheduling problems with unrelated machines

Methods for construction and optimization of addition chains

Implementation and analysis of data mining algorithms

Algorithms for expensive optimization

Genetic algorithm inspired by quantum mechanics

Modelling physically unclonable functions with evolutionary algorithms

Strategy evolution in multiplayer games using evolutionary algorithms

Imperialist competitive algorithm

Classification of heart diseases based on ECG signal using machine learning supported by evolutionary computation

Combinatorial optimization problems and algorithms

Application of stohastic optimization algorithms in deep learning

Side-Channel Analysis and Machine Learning: A Practical Perspective

Implementation of Semi-Procedural Animation for Character Locomotion

Evolutionary algorithms for the design of orthogonal latin squares based on cellular automata

Accelerated Massive Parallelism

Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties

On the mutual information as a fitness landscape measure

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems

Evolving S-boxes based on cellular automata with genetic programming

Complexity Comparison of Integer Programming and Genetic Algorithms for Resource Constrained Scheduling Problems

Neighbourhood Assessment Optimization for Mobile Telecommunications Network Antennas

On the evolution of bent (n, m) functions

Design of S-boxes Defined with Cellular Automata Rules

Evolving Cryptographic Pseudorandom Number Generators

Cryptographic Boolean functions : One output, many design criteria

Designing DNA Microarrays with Ant Colony Optimization

Adaptive scheduling on unrelated machines with genetic programming

Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography

Measuring performance of optimization algorithms in evolutionary computation

Constrained scheduling for unrelated machines

Classification using evolution of decision trees

Genetic programming with semantic analysis

Evolutionary algorithms for multi and many-objective optimization

Classification of data with genetic programming

On-line Scheduling Heuristics in Distributed Environments

Adaptive User Environment for Symbolic Regression

Extreme Pipelining Towards the Best Area-Performance Trade-Off in Hardware

Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance

Workforce Scheduling in Inbound Customer Call Centres with a Case Study

Evolving Algebraic Constructions for Designing Bent Boolean Functions

Comparison of solution representations for scheduling in the unrelated machines environment

Evolution of scheduling heuristics for the resource constrained scheduling problem

Maximal nonlinearity in balanced boolean functions with even number of inputs, revisited

Symbolic regression based forecasting with genetic programming

Strategy game parameter optimization with genetic algorithms

Evolutionary Methods for the Construction of Cryptographic Boolean Functions

Strongly typed and semantic genetic programming

Cartesian genetic programming in evolutionary computation framework

Short term load forecasting

Application of learnable evolution model to optimization problems

Artificial intelligence with behavior trees

Detecting Complex Diseases Using Genetic Features

Parallel machine simulator

Optimization of Boolean functions for cryptographic applications

Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective

Metalanguage implementation in Evolutionary Computation Framework

Evolutionary Approach for Finding Correlation Immune Boolean Functions of Order t with Minimal Hamming Weight

Adaptive memetic algorithms

Evolution of evolutionary algorithms

Analyzing Gene Expression Data: Fuzzy Decision Tree Algorithm applied to the Classification of Cancer Data

Optimization by learnable evolution

Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes

Applications of Evolutionary Computation to Cryptology

Application of nonparametric optimization algorithms

Vehicle routing in dynamic environments

Fault Injection with a new flavor: Memetic Algorithms make a difference

Optimization of combinatorial networks pipelining

Optimization efficiency based on fitness landscape

Evolutionary computation framework interface

Rješavanje velikog punog simetričnog svojstvenog problema na hibridnim arhitekturama

Inferring Presence Status on Mobile Devices

Graph coloring with adaptive local search heuristics

Evaluation of crossover efficiency in genetic programming

Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean Functions

Graph coloring with adaptive metaheuristics

Optimization of scheduling for unrelated machines

Short term electric grid load forecasting

Benu: Operating System Increments for Embedded Systems Engineer’s Education

S-box Pipelining Using Genetic Algorithms for High-Throughput AES Implementations: How Fast Can We Go?

Optimality and beyond: The case of 4×4 S-boxes

Evolving Genetic Algorithms for Fault Injection Attacks

From fitness landscape to crossover operator choice

Confused by Confusion: Systematic Evaluation of DPA Resistance of Various S-boxes

Fractal visualization with evolutionary algorithms

Asynchronous and implicitly parallel evolutionary computation models

On Using Genetic Algorithms for Intrinsic Side-channel Resistance: The Case of AES S-box

Glitch it if you can: parameter search strategies for successful fault injection

S-box, SET, Match: A Toolbox for S-box Analysis

Evolving DPA-Resistant Boolean Functions

Optimal cutter path generation for automated cutting procedures

Investigation of coevolutionary approach in gene regulatory network inference

Inferring Presence Status on Smartphones: The Big Data Perspective

Vehicle routing in real time with genetic programming

Optimization of 3D models by reducing polygon count using evolutionary algorithms

Evolutionary algorithms based on probabilistic distributions

Development of computationally demanding algorithms in a hybrid parallel environment

Parallelization of detection of malignant formations in radiographs using parallel evolutionary algorithms

Detection of malignant formations on lung radiographs with the help of evolutionary algorithms

Detection of malignant formations on X-ray images of the lung using a genetic algorithm and deterministic algorithms for continuous optimization

Increasing the efficiency of content retrieval via the Internet

Workforce scheduling using evolutionary algorithms

Evolution of Vehicle Routing Problem Heuristics with Genetic Programming

On the Recombination Operator in the Real-Coded Genetic Algorithms

Evolving Cryptographically Sound Boolean Functions

Multithread parallelization of evolutionary algorithms

Automated cutting using genetic programming

Detection of malignant formations on the lung X-ray using genetic programming and analysis methods of statistical texture characteristics

Discovering the status of mobile users

Automated nesting of irregular shapes with evolutionary algorithm

Stochastic continuous optimization methods in evolutionary computation framework

Distributed algorithms for evolutionary computation framework in Java

Metaheuristics for routing and wavelength assignment problem

Evolving neural networks for face detection

Distrubited job manager in a computer network

Particle swarm optimization on parallel processor architectures

Heuristic local-search methods applied on school timetabling

Evolutionary neural network training

Inference of gene regulatory networks using hybrid coevolutionary algorithm

Neural network inference with genetic algorithms

Evolutionary computation description language

Evolving priority scheduling heuristics with genetic programming

Evolution of automatic robot control with genetic programming

Automated Design of Combinatorial Logic Circuits

Parallel Neural Network Training with OpenCL

On the Analysis of Experimental Results in Evolutionary Computation

Influence of the Crossover Operator in the Performance of the Hybrid Taguchi GA

Operating System Core as Template for Embedded System Software Development

Genetic programming applied to pulmonary embolism identification

Parallelized Rabin-Karp Method for Exact String Matching

Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation

Intelligent Problem Solving in Process Control of an Event Filter Cluster for a Particle Physics Experiment

Protein sequence alignment with genetic algorithms

Automated design of combinatorial networks

Genetic programming efficiency in machine learning

Application of genetic programming in machine learning

Evolution of automatic control using parallel evolutionary algorithms

Classification of data using parallel neural networks

Evolving scheduling policies with gene expression programming

Methods for specification and automatic recognition of network protocols

Visual denition of procedures for automatic virtual scene generation

Evolutionary algorithm for hybrid parallel platforms

Scheduling for parallel unrelated machines using evolutionary algorithms

Automatic parallelization with genetic programming

Development enviroment for testing scheduling algorithms

On asynchronous parallel evolutionary algorithm efficiency

Determining technical trading rules using genetic programming

Influence of parameters of evolutionary computing algorithms on the quality of found solutions of university exam timetabling problem

Web-based system for student knowledge assessment

University course timetabling using parallel genetic algorithm

Testing Task Schedulers on Linux System

Heterogeneus platform parallelization with OpenCL

Image compression with genetic algorithms

Operating Systems

University timetabling with hybrid genetic algorithm

Automatic steering control using evolutionary algorithms

N-body problem parallel simulation

Applying ai-techniques as help for faculty administration - a case study

University Course Timetabling Using ACO: A Case Study on Laboratory Exercises

Semantic genetic programming

Evolutionary algorithm implementation on graphical processing platforms

Automatically defined functions in evolutionary algorithms

Application of artificial intelligence methods on agglomeration of database user roles

Autonomous robot control using genetic programming

University timetabling using evolutionary algorithms

Sport events results prediction with neural networks

Training neural networks with genetic algorithm

Multithreaded evolutionary algorithms

Floating-point representation efficiency in evolutionary algorithms

Gennetic annealing in optimization

Implementation of classifier systems in evolutionary computation framework

One machine scheduling with genetic programming

Analysis of solution representation efficiency in evolutionary computation framework

Testing task schedulers on Linux system

Learning artificial neural network with parallel particle swarm optimization

Parallel evolutionary algorithms

Job shop scheduling with genetic algorithms

Solving cutting stock problem with evolutionary algorithms

Picture representation using evolutionary methods

Combinatorial network design with evolutionary algorithms

Exam scheduling with genetic algorithms

Evolving scheduling heuristics with genetic programming

Evolving memory page replacement strategies with genetic programming

Solving vehicle routing problem with genetic algorithms

University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study

Tree representations in optimization algorithms

Inteligentno upravljanje grozdom računala za filtriranje događaja u eksperimentima fizike elementarnih čestica

Automatic control in a simulated environment

Exam Timetabling Using Genetic Algorithm

Parallelization of evolutionary algorithms

Graph Colouring with a Hybrid Genetic Algorithm

N/A

Solving Traveling Salesman Problem with Genetic Algorithms

Rješavanje problema međudjelovanja N tijela u fizikalnim sustavima

N Queen Solving with Genetic Algorithms

Semantic Genetic Programming

Solving Timetabling Problems using Genetic Algorithms

Obtaining primary memory page replacement strategy with genetic programming

Evolutionary Algorithms for the Resource Constrained Scheduling Problem

Synchronization problems

Genetic Programming Heuristics for Multiple Machine Scheduling

Priority Scheduling with Genetic Programming

Dynamic Scheduling with Genetic Programming

An overview of distributed programming techniques

Scheduling based on adaptive rules

Forward Kinematics of a Stewart Parallel Mechanism

Hexapod Structure Evaluation as Web Service

Kinematic evaluation and forward kinematic problem for Stewart platform based manipulators

The Forward And Inverse Kinematics Problems For Stewart Parallel Mechanisms

Forward Kinematics of a Stewart Parallel Mechanism

The Evaluation of Problem Solving Methods for Stewart Parallel Mechanism Kinematics

Parallelization of Elimination Tournament Selection without Synchronization

A New Model of Global Parallel Genetic Algorithm

Genetic Algorithms in Real-Time Imprecise Computing

Adaptive Genetic Algorithm

Genetic Algorithms in Real-Time Imprecise Computing

Parallel Adaptive Genetic Algorithm

Adaptive Genetic Algorithm

A Few Implementations of Parallel Genetic Algorithm

Adaptive Genetic Operators in Elimination Genetic Algorithm

The effect of adaptive operator probability on genetic algorithm efficiency