Foundations of Genetic Algorithms - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540272373, 9783540320357

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Tournament Selection, Iterated Coupon-Collection Problem, and Backward-Chaining Evolutionary Algorithms

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_8 ◽

2005 ◽

pp. 132-155 ◽

Cited By ~ 17

Author(s):

Riccardo Poli

Keyword(s):

Evolutionary Algorithms ◽

Backward Chaining ◽

Tournament Selection ◽

Coupon Collection

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The Deceptive Degree of the Objective Function

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_16 ◽

2005 ◽

pp. 300-314 ◽

Cited By ~ 1

Author(s):

Yun-qiang Li

Keyword(s):

Objective Function

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Compact Genetic Codes as a Search Strategy of Evolutionary Processes

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_5 ◽

2005 ◽

pp. 75-94 ◽

Cited By ~ 4

Author(s):

Marc Toussaint

Keyword(s):

Search Strategy ◽

Evolutionary Processes ◽

Genetic Codes

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Genetic Algorithms for the Variable Ordering Problem of Binary Decision Diagrams

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_1 ◽

2005 ◽

pp. 1-20 ◽

Cited By ~ 11

Author(s):

Wolfgang Lenders ◽

Christel Baier

Keyword(s):

Genetic Algorithms ◽

Binary Decision Diagrams ◽

Decision Diagrams ◽

Binary Decision ◽

Variable Ordering

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Optimal Weighted Recombination

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_12 ◽

2005 ◽

pp. 215-237 ◽

Cited By ~ 25

Author(s):

Dirk V. Arnold

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Population Sizing of Dependency Detection by Fitness Difference Classification

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_15 ◽

2005 ◽

pp. 282-299 ◽

Cited By ~ 1

Author(s):

Miwako Tsuji ◽

Masaharu Munetomo ◽

Kiyoshi Akama

Keyword(s):

Dependency Detection

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Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_2 ◽

2005 ◽

pp. 21-36 ◽

Cited By ~ 3

Author(s):

Darrell Whitley ◽

Jonathan E. Rowe

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Rigorous Runtime Analysis of the (1+1) ES: 1/5-Rule and Ellipsoidal Fitness Landscapes

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_14 ◽

2005 ◽

pp. 260-281 ◽

Cited By ~ 12

Author(s):

Jens Jägersküpper

Keyword(s):

Fitness Landscapes ◽

Runtime Analysis

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Running Time Analysis of a Multiobjective Evolutionary Algorithm on Simple and Hard Problems

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_7 ◽

2005 ◽

pp. 112-131 ◽

Cited By ~ 8

Author(s):

Rajeev Kumar ◽

Nilanjan Banerjee

Keyword(s):

Evolutionary Algorithm ◽

Time Analysis ◽

Running Time ◽

Multiobjective Evolutionary Algorithm ◽

Running Time Analysis ◽

Hard Problems

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Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization

Foundations of Genetic Algorithms - Lecture Notes in Computer Science ◽

10.1007/11513575_6 ◽

2005 ◽

pp. 95-111 ◽

Cited By ~ 2

Author(s):

Mario Villalobos-Arias ◽

Carlos A. Coello Coello ◽

Onésimo Hernández-Lerma

Keyword(s):

Multiobjective Optimization ◽

Asymptotic Convergence

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Foundations of Genetic Algorithms - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Tournament Selection, Iterated Coupon-Collection Problem, and Backward-Chaining Evolutionary Algorithms

The Deceptive Degree of the Objective Function

Compact Genetic Codes as a Search Strategy of Evolutionary Processes

Genetic Algorithms for the Variable Ordering Problem of Binary Decision Diagrams

Optimal Weighted Recombination

Population Sizing of Dependency Detection by Fitness Difference Classification

Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs

Rigorous Runtime Analysis of the (1+1) ES: 1/5-Rule and Ellipsoidal Fitness Landscapes

Running Time Analysis of a Multiobjective Evolutionary Algorithm on Simple and Hard Problems

Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization

Foundations of Genetic Algorithms - Lecture Notes in Computer Science
Latest Publications