Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization

Parallel Problem Solving from Nature – PPSN XIII - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10762-2_50 ◽

2014 ◽

pp. 508-517 ◽

Author(s):

Leonardo C. T. Bezerra ◽

Manuel López-Ibáñez ◽

Thomas Stützle

Keyword(s):

Combinatorial Optimization ◽

Evolutionary Algorithms ◽

Automatic Design ◽

Multi Objective

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Multi-objective combinatorial optimization for designing room automation systems by using evolutionary algorithms

2009 35th Annual Conference of IEEE Industrial Electronics ◽

10.1109/iecon.2009.5415051 ◽

2009 ◽

Author(s):

A. Cemal Oezluek ◽

Uwe Ryssel ◽

Klaus Kabitzsch

Keyword(s):

Combinatorial Optimization ◽

Evolutionary Algorithms ◽

Multi Objective ◽

Automation Systems

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Automatic design of approximate circuits by means of multi-objective evolutionary algorithms

2016 International Conference on Design and Technology of Integrated Systems in Nanoscale Era (DTIS) ◽

10.1109/dtis.2016.7483885 ◽

2016 ◽

Author(s):

Radek Hrbacek ◽

Vojtech Mrazek ◽

Zdenek Vasicek

Keyword(s):

Evolutionary Algorithms ◽

Automatic Design ◽

Multi Objective

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A new idea for addressing multi-objective combinatorial optimization: Quantum multi-agent evolutionary algorithms

2009 43rd Annual Conference on Information Sciences and Systems ◽

10.1109/ciss.2009.5054684 ◽

2009 ◽

Author(s):

Dongming Zhao ◽

Fei Tao

Keyword(s):

Combinatorial Optimization ◽

Evolutionary Algorithms ◽

Multi Objective ◽

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Improving Automatic Design Space Exploration by Integrating Symbolic Techniques into Multi-Objective Evolutionary Algorithms

International Journal of Computational Intelligence Research ◽

10.5019/j.ijcir.2006.65 ◽

2006 ◽

Vol 2 (3) ◽

Author(s):

Christian Haubelt ◽

Thomas Schlichte ◽

Jürgen Teich

Keyword(s):

Evolutionary Algorithms ◽

Design Space Exploration ◽

Design Space ◽

Space Exploration ◽

Automatic Design ◽

Multi Objective

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Multi-objective Cooperative Coevolutionary Evolutionary Algorithms for Continuous and Combinatorial Optimization

Intelligent Decision Systems in Large-Scale Distributed Environments - Studies in Computational Intelligence ◽

10.1007/978-3-642-21271-0_3 ◽

2011 ◽

pp. 49-74 ◽

Author(s):

Bernabé Dorronsoro ◽

Grégoire Danoy ◽

Pascal Bouvry ◽

Antonio J. Nebro

Keyword(s):

Combinatorial Optimization ◽

Evolutionary Algorithms ◽

Multi Objective

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Proposal of Tabu Search Based Multi-Point Search Method for Multi-Objective Combinatorial Optimization Problems

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.466 ◽

2014 ◽

Vol 134 (3) ◽

pp. 466-467

Author(s):

Shuhei Takamura ◽

Kenichi Tamura ◽

Keiichiro Yasuda

Keyword(s):

Combinatorial Optimization ◽

Tabu Search ◽

Optimization Problems ◽

Search Method ◽

Multi Objective ◽

Combinatorial Optimization Problems ◽

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Land-use planning via enhanced multi-objective evolutionary algorithms: optimizing the land value of major Greenfield initiatives

Journal of Land Use Science ◽

10.1080/1747423x.2016.1223187 ◽

2016 ◽

Vol 11 (5) ◽

pp. 595-617 ◽

Author(s):

Spiros M. Karakostas

Keyword(s):

Land Use ◽

Evolutionary Algorithms ◽

Land Use Planning ◽

Multi Objective

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Automated Test Input Generation for Convolutional Neural Networks by Implementing Multi-objective Evolutionary Algorithms

2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW) ◽

10.1109/candarw51189.2020.00040 ◽

2020 ◽

Author(s):

Lingfeng ZHANG ◽

Hiroyuki SATO

Keyword(s):

Neural Networks ◽

Evolutionary Algorithms ◽

Convolutional Neural Networks ◽

Multi Objective ◽

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An interactive method for surrogate-assisted multi-objective evolutionary algorithms

2020 12th International Conference on Knowledge and Systems Engineering (KSE) ◽

10.1109/kse50997.2020.9287862 ◽

2020 ◽

Author(s):

Dinh Nguyen Duc ◽

Long Nguyen ◽

Kien Thai Trung

Keyword(s):

Evolutionary Algorithms ◽

Interactive Method ◽

Multi Objective

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Visual mapping of multi-objective optimization problems and evolutionary algorithms

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion ◽

10.1145/3377929.3398104 ◽

2020 ◽

Author(s):

Kohei Yamamoto ◽

Tomoaki Takagi ◽

Keiki Takadama ◽

Hiroyuki Sato

Keyword(s):

Evolutionary Algorithms ◽

Optimization Problems ◽

Multi Objective Optimization ◽

Multi Objective ◽

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