Investigation of Structures for Routing Rules Designed by Genetic Programming for the Electric Vehicle Routing Problem

Influence of Bloat Control on Relocation Rules Automatically Designed via Genetic Programming

Designing Competitive Ensembles for the Container Relocation Problem

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

Genetic programming policies for bin packing in the framework of deterministic Markov decision process

Genetic programming with surrogate evaluation for the electric vehicle routing problem

Automated generation of dispatching rules for the green unrelated machines scheduling problem

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

Evolving Priority Rules to Optimize Multi-Objective Criteria for the Resource-Constrained Project Scheduling Problem

Application of electoral systems for decision making in ensembles of heuristics generated by genetic programming

Enhancing automatically designed relocation rules with the rollout algorithm

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

Tree search hyper-heuristic with application to combinatorial optimization

Multitask genetic programming for automated design of heuristics for the container relocation problem

Time-Dependent Electric Vehicle Routing Problem with time windows and charging time dependent on the state of charge

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

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

Language Teaching 2.0: Yesterday is History, Tomorrow is a Mystery?

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

Application of Evolutionary Optimization in Task Mapping and Scheduling for Heterogeneous Mobile-Edge Computing

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

Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem

Evolving routing policies for electric vehicles by means of genetic programming

Review of Stochastic Dynamic Vehicle Routing in the Evolving Urban Logistics Environment

Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization

Umjetna Inteligencija: Moderan pristup

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

ECF: A C＋＋ framework for evolutionary computation

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

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

Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups

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

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

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

Automated design of relocation rules for minimising energy consumption in the container relocation problem

Evolving scheduling heuristics with genetic programming for optimization of quality of service in weakly hard real-time systems

Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes

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

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

Modeling Strong Physically Unclonable Functions with Metaheuristics

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

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

A New Angle: On Evolving Rotation Symmetric Boolean Functions

Automated design of relocation rules for minimising energy consumption in the container relocation problem

An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems

Genetic programming for the vehicle routing problem with zone-based pricing

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search

Finding Near-Optimal Portfolios with Quality-Diversity

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions

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

Evolving ensembles of heuristics for the travelling salesman problem

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

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

Automated design of heuristics for the container relocation problem using genetic programming

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis

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

Building Heuristics and Ensembles for the Travel Salesman Problem

Novel ensemble collaboration method for dynamic scheduling problems

Evolving Constructions for Balanced, Highly Nonlinear 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

Constructing Ensembles of Dispatching Rules for Multi- objective Problems

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

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

Introduction to automated design of scheduling heuristics with genetic programming

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

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

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

Automatic design of dispatching rules for static scheduling conditions

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

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

A comparative study of solution representations for the unrelated machines environment

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

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

Creating dispatching rules by simple ensemble combination

Improving genetic algorithm performance by population initialisation with dispatching rules

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

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

A survey of dispatching rules for the dynamic unrelated machines environment

Comparison of solution representations for scheduling in the unrelated machines environment

Adaptive scheduling on unrelated machines with genetic programming

GPU Implementation of a Medical Imaging Data Compression Algorithm

Machine-to-machine communication as key enabler in smart metering systems