Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization
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Published By Springer Berlin Heidelberg

9783540249832, 9783540318804

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_50 ◽

2005 ◽

pp. 721-735 ◽

Cited By ~ 3

Author(s):

Hitoshi Iima

Keyword(s):

Genetic Algorithm ◽

Job Shop

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Particle Evolutionary Swarm for Design Reliability Optimization

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_59 ◽

2005 ◽

pp. 856-869 ◽

Cited By ~ 6

Author(s):

Angel E. Muñoz Zavala ◽

Enrique R. Villa Diharce ◽

Arturo Hernández Aguirre

Keyword(s):

Reliability Optimization ◽

Design Reliability

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Dynamic Archive Evolution Strategy for Multiobjective Optimization

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_10 ◽

2005 ◽

pp. 135-149

Author(s):

Yang Shu Min ◽

Shao Dong Guo ◽

Luo Yang Jie

Keyword(s):

Multiobjective Optimization ◽

Evolution Strategy

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Preliminary Investigation of the ‘Learnable Evolution Model’ for Faster/Better Multiobjective Water Systems Design

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_58 ◽

2005 ◽

pp. 841-855 ◽

Cited By ~ 18

Author(s):

Laetitia Jourdan ◽

David Corne ◽

Dragan Savic ◽

Godfrey Walters

Keyword(s):

Preliminary Investigation ◽

Systems Design ◽

Water Systems ◽

Evolution Model ◽

Learnable Evolution Model

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Exploiting the Trade-off — The Benefits of Multiple Objectives in Data Clustering

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_38 ◽

2005 ◽

pp. 547-560 ◽

Cited By ~ 44

Author(s):

Julia Handl ◽

Joshua Knowles

Keyword(s):

Data Clustering ◽

Multiple Objectives ◽

Trade Off

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Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_62 ◽

2005 ◽

pp. 897-910 ◽

Cited By ~ 5

Author(s):

Timoleon Kipouros ◽

Daniel Jaeggi ◽

Bill Dawes ◽

Geoff Parks ◽

Mark Savill

Keyword(s):

Tabu Search ◽

Multi Objective ◽

Turbomachinery Blades

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A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_23 ◽

2005 ◽

pp. 326-340 ◽

Cited By ~ 18

Author(s):

Lyndon While

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An EMO Algorithm Using the Hypervolume Measure as Selection Criterion

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_5 ◽

2005 ◽

pp. 62-76 ◽

Cited By ~ 238

Author(s):

Michael Emmerich ◽

Nicola Beume ◽

Boris Naujoks

Keyword(s):

Selection Criterion

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Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ∈-Dominance

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_35 ◽

2005 ◽

pp. 505-519 ◽

Cited By ~ 290

Author(s):

Margarita Reyes Sierra ◽

Carlos A. Coello Coello

Keyword(s):

Multi Objective Optimization ◽

Multi Objective

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DEMO: Differential Evolution for Multiobjective Optimization

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-540-31880-4_36 ◽

2005 ◽

pp. 520-533 ◽

Cited By ~ 229

Author(s):

Tea Robič ◽

Bogdan Filipič

Keyword(s):

Multiobjective Optimization ◽

Differential Evolution

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Lecture Notes in Computer Science - Evolutionary Multi-Criterion OptimizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem

Particle Evolutionary Swarm for Design Reliability Optimization

Dynamic Archive Evolution Strategy for Multiobjective Optimization

Preliminary Investigation of the ‘Learnable Evolution Model’ for Faster/Better Multiobjective Water Systems Design

Exploiting the Trade-off — The Benefits of Multiple Objectives in Data Clustering

Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search

A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume

An EMO Algorithm Using the Hypervolume Measure as Selection Criterion

Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ∈-Dominance

DEMO: Differential Evolution for Multiobjective Optimization

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization
Latest Publications