Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments
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Published By Springer Berlin Heidelberg

9783540497721, 9783540497745

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_20 ◽

2007 ◽

pp. 457-478 ◽

Cited By ~ 10

Author(s):

Chi Keong Goh ◽

Kay Chen Tan

Keyword(s):

Evolutionary Algorithms ◽

Pareto Optimality ◽

Multi Objective

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Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_15 ◽

2007 ◽

pp. 345-369 ◽

Cited By ~ 7

Author(s):

Ferrante Neri ◽

Raino A. E. Mäkinen

Keyword(s):

Evolutionary Algorithms ◽

Noise Compensation

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A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_12 ◽

2007 ◽

pp. 269-296 ◽

Cited By ~ 6

Author(s):

Margarita Reyes-Sierra ◽

Carlos A. Coello Coello

Keyword(s):

Particle Swarm ◽

Particle Swarm Optimizer ◽

Multi Objective

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Particle Swarm Optimization in Dynamic Environments

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_2 ◽

2007 ◽

pp. 29-49 ◽

Cited By ~ 85

Author(s):

Tim Blackwell

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Dynamic Environments ◽

Swarm Optimization

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Learning and Anticipation in Online Dynamic Optimization

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_6 ◽

2007 ◽

pp. 129-152 ◽

Cited By ~ 25

Author(s):

Peter A. N. Bosman

Keyword(s):

Dynamic Optimization

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Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_1 ◽

2007 ◽

pp. 3-28 ◽

Cited By ~ 30

Author(s):

Shengxiang Yang

Keyword(s):

Evolutionary Algorithms ◽

Explicit Memory ◽

Dynamic Environments ◽

Memory Schemes

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Orthogonal Dynamic Hill Climbing Algorithm: ODHC

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_4 ◽

2007 ◽

pp. 79-104 ◽

Cited By ~ 3

Author(s):

Sanyou Zeng ◽

Hui Shi ◽

Lishan Kang ◽

Lixin Ding

Keyword(s):

Hill Climbing ◽

Hill Climbing Algorithm

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An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_25 ◽

2007 ◽

pp. 565-582 ◽

Cited By ~ 5

Author(s):

Carlos Barrico ◽

Carlos Henggeler Antunes

Keyword(s):

Evolutionary Approach ◽

Multi Objective

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Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_19 ◽

2007 ◽

pp. 437-456 ◽

Cited By ~ 11

Author(s):

Dudy Lim ◽

Yew-Soon Ong ◽

Meng-Hiot Lim ◽

Yaochu Jin

Keyword(s):

Design Methodology ◽

Evolutionary Design ◽

Multi Objective

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Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments ◽

10.1007/978-3-540-49774-5_9 ◽

2007 ◽

pp. 197-222 ◽

Cited By ~ 2

Author(s):

Frederico Paiva Quintão ◽

Fabíola Guerra Nakamura ◽

Geraldo Robson Mateus

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Evolutionary Algorithms ◽

Combinatorial Problems ◽

Wireless Sensor ◽

Uncertain Environment

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Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain EnvironmentsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms

Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation

A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer

Particle Swarm Optimization in Dynamic Environments

Learning and Anticipation in Online Dynamic Optimization

Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments

Orthogonal Dynamic Hill Climbing Algorithm: ODHC

An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models

Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty

Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks

Studies in Computational Intelligence - Evolutionary Computation in Dynamic and Uncertain Environments
Latest Publications