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

ECF: A C＋＋ framework for evolutionary computation

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

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

Leveraging More of Biology in Evolutionary Reinforcement Learning

Evolving routing policies for electric vehicles by means of genetic programming

DARWIN: Survival of the Fittest Fuzzing Mutators

Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

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

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

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

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

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions

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

A New Angle: On Evolving Rotation Symmetric Boolean Functions

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

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

Finding Near-Optimal Portfolios with Quality-Diversity

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

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

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

Modeling Strong Physically Unclonable Functions with Metaheuristics

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes

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

A comparative study of dispatching rule representations in evolutionary algorithms

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

Genetic programming for electric vehicle routing problem with soft time windows

On generalizing the power function exponent constructions with genetic programming

On the Difficulty of Evolving Permutation Codes

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

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis

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

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

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

Introduction to automated design of scheduling heuristics with genetic programming

Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions

Artificial Intelligence for the Design of Symmetric Cryptographic Primitives

Constructing Ensembles of Dispatching Rules for Multi- objective Problems

Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods

Evolutionary computation and machine learning in security

Evolutionary Construction of Perfectly Balanced Boolean Functions

Design Space Exploration of Clustered Sparsely Connected MPSoC Platforms

Novel ensemble collaboration method for dynamic scheduling problems

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

Ensembles of priority rules for resource constrained project scheduling problem

Genetic programming hyperheuristic parameter configuration using fitness landscape analysis

Automatic design of dispatching rules for static scheduling conditions

CoInGP: convolutional inpainting with genetic programming

Solving scheduling problems with genetic programming fitness landscape features

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

Toward more efficient heuristic construction of Boolean functions

Evolutionary algorithms-assisted construction of cryptographic boolean functions

Evolutionary algorithms for designing reversible cellular automata

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

Deep reinforcement learning based obstacle evasion

Implicit function symbolic regression system

An attempt of reinforcement learning in a partially observable environment

Reinforced evolution of Dota 2 agent

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

Security Risk Optimization for Multi-cloud Applications

Enhancing transfer learning for head pose estimation

Evolutionary Computation in the Energy Domain: Smart Grid Applications

Evolutionary Algorithms for the Design of Quantum Protocols

Evolutionary computation and machine learning in cryptology

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

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

Metaheuristics for problems with limited budget of evaluations

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

Predictive and generative machine learning models for photonic crystals

What Is Your MOVE: Modeling Adversarial Network Environments

Parking space occupancy detection

A comparative study of solution representations for the unrelated machines environment

Adversarial attacks on classification models using multi-objective optimization

Adversarial Attacks in Natural Language Processing

Design of priority rules for resource constrained project scheduling problem.

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

GPS spoofing parameters optimization based on evolutionary algorithms

Encryption of Communication Using Evolutionary Algorithms with Adversarial Learning

C3PO: cipher construction with cartesian genetic programming

Solving vehicle routing problem using metaheuristics in static and dynamic conditions

Creating dispatching rules by simple ensemble combination

Optimization model for distributed application deployment

Evolutionary Algorithms for the Design of Quantum Protocols

On the design of S-box constructions with genetic programming

Evaluating the efficiency of solution representations for unrelated machines scheduling

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

Improving genetic algorithm performance by population initialisation with dispatching rules

Machine Learning in Security of Voice Controllable Systems

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

Solving vehicle routing problems with symbolic regression

A characterisation of S-box fitness landscapes in cryptography

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

Cellular automata based S-boxes

Hyper-bent Boolean Functions and Evolutionary Algorithms

Solving classification problems using cartesian genetic programming

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

Automated design of dispatching rules for scheduling problems with constraints

Methods for solving static scheduling problems in the unrelated machines environment

Optimization of GPS attack parameters with evolutionary algorithm

Automated design of dispatching rules in unrelated machines environment

Evolutionary Heuristics for Fault Injection Parameter Space Search

Biome Simulation with Machine Learning

Optimization of Priority Scheduling Using Machine Learning on GPU

Artificial Intelligence Methods for Creating a Computer Player in a Game

The Design of (Almost) Disjunct Matrices by Evolutionary Algorithms

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

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

Application of optimization algorithms to vehicle routing problems

Evolving Bent Quaternary Functions

Implementation and Application of Support Vector Machine to Classification and Regression

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

Strategy Game Model Implementation

Image compression with neural networks

Detection of cell nuclei using evolutionary computation

Fuzzy Logic for the Analysis of Time Sequences

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

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

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

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

A survey of dispatching rules for the dynamic unrelated machines environment

Analysis of molecular signature of tumors with machine learning

Path finding optimization in a dynamic environment

Encrypting communication with evolutionary algorithms

A Software Framework for Interactive Visualization of Optimization Algorithms

Genetic algorithm inspired by quantum mechanics

Neighbourhood Assessment Optimization for Mobile Telecommunications Network Antennas

Application of stohastic optimization algorithms in deep learning

Modelling physically unclonable functions with evolutionary algorithms

Accelerated Massive Parallelism

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems

On the mutual information as a fitness landscape measure

Algorithms for expensive optimization

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

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

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

On the evolution of bent (n, m) functions

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

Implementation of Semi-Procedural Animation for Character Locomotion

Implementation and analysis of data mining algorithms

Imperialist competitive algorithm

Side-Channel Analysis and Machine Learning: A Practical Perspective

Methods for construction and optimization of addition chains

Combinatorial optimization problems and algorithms

Strategy evolution in multiplayer games using evolutionary algorithms

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

Evolving S-boxes based on cellular automata with genetic programming

Design of S-boxes Defined with Cellular Automata Rules

Adaptive scheduling on unrelated machines with genetic programming

Measuring performance of optimization algorithms in evolutionary computation

On-line Scheduling Heuristics in Distributed Environments

Adaptive User Environment for Symbolic Regression

Classification using evolution of decision trees

Evolving Algebraic Constructions for Designing Bent Boolean Functions

Evolving Cryptographic Pseudorandom Number Generators

Genetic programming with semantic analysis

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

Classification of data with genetic programming

Cryptographic Boolean functions : One output, many design criteria

Designing DNA Microarrays with Ant Colony Optimization

Constrained scheduling for unrelated machines

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

Evolution of scheduling heuristics for the resource constrained scheduling problem

Evolutionary algorithms for multi and many-objective optimization

Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance

Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography

Symbolic regression based forecasting with genetic programming

Workforce Scheduling in Inbound Customer Call Centres with a Case Study

Comparison of solution representations for scheduling in the unrelated machines environment

Strategy game parameter optimization with genetic algorithms

Application of nonparametric optimization algorithms

Applications of Evolutionary Computation to Cryptology

Strongly typed and semantic genetic programming

Parallel machine simulator

Evolution of evolutionary algorithms

Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different Sizes

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

Metalanguage implementation in Evolutionary Computation Framework

Evolutionary Methods for the Construction of Cryptographic Boolean Functions

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

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

Vehicle routing in dynamic environments

Artificial intelligence with behavior trees

Correlation Immunity of Boolean Functions: An Evolutionary Algorithms Perspective

Detecting Complex Diseases Using Genetic Features

Short term load forecasting

Adaptive memetic algorithms

Application of learnable evolution model to optimization problems

Cartesian genetic programming in evolutionary computation framework

Optimization by learnable evolution

Optimization of Boolean functions for cryptographic applications

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

Graph coloring with adaptive metaheuristics

Graph coloring with adaptive local search heuristics

Evolving DPA-Resistant Boolean Functions

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

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

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

Short term electric grid load forecasting

Solving Large Dense Symmetric Eigenproblem on Hybrid Architectures

Asynchronous and implicitly parallel evolutionary computation models

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

Evolving Genetic Algorithms for Fault Injection Attacks

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

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

Optimization of scheduling for unrelated machines

Evaluation of crossover efficiency in genetic programming

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

Optimization efficiency based on fitness landscape

From fitness landscape to crossover operator choice

Evolutionary computation framework interface

Fractal visualization with evolutionary algorithms

Inferring Presence Status on Mobile Devices

Optimization of combinatorial networks pipelining

Discovering the status of mobile users

Workforce scheduling using evolutionary algorithms

Automated cutting using genetic programming

Automated nesting of irregular shapes with evolutionary algorithm

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

Optimal cutter path generation for automated cutting procedures

Vehicle routing in real time with genetic programming

Investigation of coevolutionary approach in gene regulatory network inference

Evolutionary algorithms based on probabilistic distributions

Multithread parallelization of 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

Inferring Presence Status on Smartphones: The Big Data Perspective

Increasing the efficiency of content retrieval via the Internet

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

Development of computationally demanding algorithms in a hybrid parallel environment

Parallelization of detection of malignant formations in radiographs using parallel 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

Stochastic continuous optimization methods in evolutionary computation framework

Metaheuristics for routing and wavelength assignment problem

Evolutionary computation description language

Inference of gene regulatory networks using hybrid coevolutionary algorithm

On the Analysis of Experimental Results in Evolutionary Computation

Heuristic local-search methods applied on school timetabling

Distrubited job manager in a computer network

Particle swarm optimization on parallel processor architectures

Evolutionary neural network training

Distributed algorithms for evolutionary computation framework in Java

Parallel Neural Network Training with OpenCL

Automated Design of Combinatorial Logic Circuits

Evolving priority scheduling heuristics with genetic programming

Operating System Core as Template for Embedded System Software Development

Neural network inference with genetic algorithms

Evolving neural networks for face detection

Evolution of automatic robot control with genetic programming

Genetic programming applied to pulmonary embolism identification

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

Web-based system for student knowledge assessment

Methods for specification and automatic recognition of network protocols

University course timetabling using parallel genetic algorithm

Determining technical trading rules using genetic programming

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

Parallelized Rabin-Karp Method for Exact String Matching

Automated design of combinatorial networks

Automatic parallelization with genetic programming

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

On asynchronous parallel evolutionary algorithm efficiency

Evolutionary algorithm for hybrid parallel platforms

Genetic programming efficiency in machine learning

Scheduling for parallel unrelated machines using evolutionary algorithms

Application of genetic programming in machine learning

Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation

Evolution of automatic control using parallel evolutionary algorithms

Classification of data using parallel neural networks

Protein sequence alignment with genetic algorithms

Evolving scheduling policies with gene expression programming

Visual denition of procedures for automatic virtual scene generation

Development enviroment for testing scheduling algorithms

Autonomous robot control using genetic programming

Gennetic annealing in optimization

Testing Task Schedulers on Linux System

One machine scheduling with genetic programming

Image compression with genetic algorithms

Semantic genetic programming

Implementation of classifier systems in evolutionary computation framework

Automatic steering control using evolutionary algorithms

Sport events results prediction with neural networks

University timetabling using evolutionary algorithms

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

Testing task schedulers on Linux system

Evolutionary algorithm implementation on graphical processing platforms

Analysis of solution representation efficiency in evolutionary computation framework

Floating-point representation efficiency in evolutionary algorithms

Training neural networks with genetic algorithm

Learning artificial neural network with parallel particle swarm optimization

Automatically defined functions in evolutionary algorithms

N-body problem parallel simulation

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

Application of artificial intelligence methods on agglomeration of database user roles

Multithreaded evolutionary algorithms

Heterogeneus platform parallelization with OpenCL

Operating Systems

University timetabling with hybrid genetic algorithm

Automatic control in a simulated environment

Solving cutting stock problem with evolutionary algorithms

Intelligent process control of the event filter cluster for experiments in particle physics

Exam Timetabling Using Genetic Algorithm

Job shop scheduling with genetic algorithms

Evolving memory page replacement strategies with genetic programming

Tree representations in optimization algorithms

Parallel evolutionary algorithms

Combinatorial network design with evolutionary algorithms

Parallelization of evolutionary algorithms

Evolving scheduling heuristics with genetic programming

Exam scheduling with genetic algorithms

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

Solving vehicle routing problem with genetic algorithms

Picture representation using evolutionary methods

Evolutionary Algorithms for the Resource Constrained Scheduling Problem

Graph Colouring with a Hybrid Genetic Algorithm

N/A

Solving the n-body problem in physical systems

Semantic Genetic Programming

N Queen Solving with Genetic Algorithms

Solving Timetabling Problems using Genetic Algorithms

Solving Traveling Salesman Problem with Genetic Algorithms

Obtaining primary memory page replacement strategy with genetic programming

Synchronization problems

Genetic Programming Heuristics for Multiple Machine Scheduling

Dynamic Scheduling with Genetic Programming

Priority Scheduling with Genetic Programming

Scheduling based on adaptive rules

An overview of distributed programming techniques

Forward Kinematics of a Stewart Parallel Mechanism

Hexapod Structure Evaluation as Web Service

Kinematic evaluation and forward kinematic problem for Stewart platform based manipulators

Forward Kinematics of a Stewart Parallel Mechanism

The Forward And Inverse Kinematics Problems For Stewart Parallel Mechanisms

Parallelization of Elimination Tournament Selection without Synchronization

The Evaluation of Problem Solving Methods for Stewart Parallel Mechanism Kinematics

Genetic Algorithms in Real-Time Imprecise Computing

A New Model of Global Parallel Genetic Algorithm

Adaptive Genetic Algorithm

Genetic Algorithms in Real-Time Imprecise Computing

A Few Implementations of Parallel Genetic Algorithm

Adaptive Genetic Algorithm

Parallel Adaptive Genetic Algorithm

Adaptive Genetic Operators in Elimination Genetic Algorithm

The effect of adaptive operator probability on genetic algorithm efficiency