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

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

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

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

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

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

Evolving routing policies for electric vehicles by means of genetic programming

ECF: A C＋＋ framework for evolutionary computation

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

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

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

Leveraging More of Biology in Evolutionary Reinforcement Learning

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

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

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

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions

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

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

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

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

Evolving ensembles of heuristics for the travelling salesman problem

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

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search

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

Finding Near-Optimal Portfolios with Quality-Diversity

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

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

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

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

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

A New Angle: On Evolving Rotation Symmetric Boolean Functions

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

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes

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

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

Modeling Strong Physically Unclonable Functions with Metaheuristics

Building Heuristics and Ensembles for the Travel Salesman Problem

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis

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

Constructing Ensembles of Dispatching Rules for Multi- objective Problems

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

Introduction to automated design of scheduling heuristics with genetic programming

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

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

A comparative study of dispatching rule representations in evolutionary algorithms

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

Automatic design of dispatching rules for static scheduling conditions

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

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

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

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

A comparative study of solution representations for the unrelated machines environment

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

Improving genetic algorithm performance by population initialisation with dispatching rules

Creating dispatching rules by simple ensemble combination

Methods for solving static scheduling problems in the unrelated machines environment

Automated design of dispatching rules for scheduling problems with constraints

A survey of dispatching rules for the dynamic unrelated machines environment

A Software Framework for Interactive Visualization of Optimization Algorithms

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

Automated design of dispatching rules in unrelated machines environment

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

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

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

Adaptive scheduling on unrelated machines with genetic programming

Comparison of solution representations for scheduling in the unrelated machines environment

Constrained scheduling for unrelated machines

Optimization of scheduling for unrelated machines

GPU Implementation of a Medical Imaging Data Compression Algorithm

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

Evolutionary computation description language