Article

Learning heuristics by genetic algorithms

Authors:

Rolf Drechsler,

Bernd BeckerAuthors Info & Claims

ASP-DAC '95: Proceedings of the 1995 Asia and South Pacific Design Automation Conference

Pages 53 - es

https://doi.org/10.1145/224818.224920

Published: 01 August 1995 Publication History

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Schmiedle FDrechsler NGroße DDrechsler R(2019)Heuristic Learning Based on Genetic ProgrammingGenetic Programming and Evolvable Machines10.1023/A:10209889259233:4(363-388)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1023/A%3A1020988925923
Swiercz A(2017)Hyper‐Heuristics and Metaheuristics for Selected Bio‐Inspired Combinatorial Optimization ProblemsHeuristics and Hyper-Heuristics - Principles and Applications10.5772/intechopen.69225Online publication date: 30-Aug-2017
https://doi.org/10.5772/intechopen.69225
Burke EHyde MKendall GOchoa GOzcan EWoodward J(2009)Exploring Hyper-heuristic Methodologies with Genetic ProgrammingComputational Intelligence10.1007/978-3-642-01799-5_6(177-201)Online publication date: 2009
https://doi.org/10.1007/978-3-642-01799-5_6
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Published In

ASP-DAC '95: Proceedings of the 1995 Asia and South Pacific Design Automation Conference

August 1995

ISBN:0897917669

DOI:10.1145/224818

Chairman:
Isao Shirakawa
Osaka Univ., Osaka, Japan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 1995

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ASPDAC95

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IFIP WG 10.2
IFIP WG 10.5
ISPJ
IEICE
SIGDA
IEEE-CAS

ASPDAC95: Asia Pacific Design Automation Conference

August 29 - September 1, 1995

Makuhari, Massa, Chiba, Japan

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Overall Acceptance Rate 466 of 1,454 submissions, 32%

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ASPDAC '25

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sigda

30th Asia and South Pacific Design Automation Conference

January 20 - 23, 2025

Tokyo , Japan

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Schmiedle FDrechsler NGroße DDrechsler R(2019)Heuristic Learning Based on Genetic ProgrammingGenetic Programming and Evolvable Machines10.1023/A:10209889259233:4(363-388)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1023/A%3A1020988925923
Swiercz A(2017)Hyper‐Heuristics and Metaheuristics for Selected Bio‐Inspired Combinatorial Optimization ProblemsHeuristics and Hyper-Heuristics - Principles and Applications10.5772/intechopen.69225Online publication date: 30-Aug-2017
https://doi.org/10.5772/intechopen.69225
Burke EHyde MKendall GOchoa GOzcan EWoodward J(2009)Exploring Hyper-heuristic Methodologies with Genetic ProgrammingComputational Intelligence10.1007/978-3-642-01799-5_6(177-201)Online publication date: 2009
https://doi.org/10.1007/978-3-642-01799-5_6
Drechsler RGöckel NBecker B(2005)Learning heuristics for OBDD minimization by Evolutionary AlgorithmsParallel Problem Solving from Nature — PPSN IV10.1007/3-540-61723-X_1036(730-739)Online publication date: 11-Jul-2005
https://doi.org/10.1007/3-540-61723-X_1036
Schmiedle FGroße DDrechsler RBecker B(2001)Too Much Knowledge Hurts: Acceleration of Genetic Programs for Learning HeuristicsComputational Intelligence. Theory and Applications10.1007/3-540-45493-4_49(479-491)Online publication date: 26-Sep-2001
https://doi.org/10.1007/3-540-45493-4_49
Drechsler NSchmiedle FGroße DDrechsler R(2001)Heuristic Learning Based on Genetic ProgrammingGenetic Programming10.1007/3-540-45355-5_1(1-10)Online publication date: 2-Apr-2001
https://doi.org/10.1007/3-540-45355-5_1
Drechsler NDrechsler RBecker B(2001)Multi-objective Optimisation Based on Relation FavourEvolutionary Multi-Criterion Optimization10.1007/3-540-44719-9_11(154-166)Online publication date: 6-Jul-2001
https://doi.org/10.1007/3-540-44719-9_11
Drechsler NDrechsler RBecker B(1999)Multi-objective Optimization in Evolutionary Algorithms Using Satisfiability ClassesComputational Intelligence10.1007/3-540-48774-3_14(108-117)Online publication date: 1999
https://doi.org/10.1007/3-540-48774-3_14

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Learning with Genetic Algorithms: An Overview

Learning Intelligent Genetic Algorithms Using Japanese Nonograms

Evolving reusable 3d packing heuristics with genetic programming

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Learning with Genetic Algorithms: An Overview

Learning Intelligent Genetic Algorithms Using Japanese Nonograms

Evolving reusable 3d packing heuristics with genetic programming

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