A simple improvement heuristic for attributed grammatical evolution with lookahead to solve the multiple knapsack problem

Muhammad Rezaul Karim, Conor Ryan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we introduce a simple improvement heuristic to be used with Attribute Grammar with Lookahead approach (AG+LA), a recently proposed mapping approach for Grammatical Evolution (GE) using an attribute grammar (AG) to solve the Multiple Knapsack Problem (MKP). The results presented in this paper show that the proposed improvement heuristic can improve the quality of solutions obtained by AG+LA with little computational effort.

Original languageEnglish
Title of host publicationConvergence and Hybrid Information Technology - 5th International Conference, ICHIT 2011, Proceedings
Pages274-281
Number of pages8
DOIs
Publication statusPublished - 2011
Event5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011 - Daejeon, Korea, Republic of
Duration: 22 Sep 201124 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6935 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011
Country/TerritoryKorea, Republic of
CityDaejeon
Period22/09/1124/09/11

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