An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems-Reference-Cited by-同舟云学术

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An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems

Published:2021-03 Issue: Volume:165 Page:113853
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Mweshi George,Pillay Nelishia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Harmony search-based hyper-heuristic for examination timetabling;Anwar,2013

2. Generating SAT local-search heuristics using a GP hyper-heuristic framework;Bader-El-Den,2007

3. Grammatical evolution of local search heuristics;Burke;IEEE Transactions on Evolutionary Computation,2012

4. A classification of hyper-heuristic approaches;Burke,2010

5. Hyper-heuristics: An emerging direction in modern search technology;Burke,2003

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2. Differential evolution ensemble designer;Expert Systems with Applications;2024-03

3. A Survey of Solution Methodologies for Exam Timetabling Problems;IEEE Access;2024

4. A Grammatical Evolution Based Automated Configuration of an Ensemble Differential Evolution Algorithm;Lecture Notes in Computer Science;2023

5. A meta-evolutionary selection of constituents in ensemble differential evolution algorithm;Expert Systems with Applications;2022-11

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