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

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

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

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis

Automated design of heuristics for the container relocation problem using 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

Building Heuristics and Ensembles for the Travel Salesman Problem

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

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

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

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

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

Automatic design of dispatching rules for static scheduling conditions

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

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

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

A Search for Additional Structure: The Case of Cryptographic 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

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

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

A survey of dispatching rules for the dynamic unrelated machines environment

Automated design of dispatching rules in unrelated machines environment

Adaptive scheduling on unrelated machines with genetic programming

Comparison of solution representations for scheduling in the unrelated machines environment

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