Lecture Notes in Computer Science - Simulated Evolution and Learning
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Published By Springer Berlin Heidelberg

9783642172977, 9783642172984

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Modular Decision-Tree Architecture for Better Problem Understanding

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_73 ◽

2010 ◽

pp. 647-656

Author(s):

Vineet R. Khare ◽

Halasya Siva Subramania

Keyword(s):

Decision Tree ◽

Tree Architecture

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Multi-Objective Optimisation of Web Business Processes

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_63 ◽

2010 ◽

pp. 573-577 ◽

Cited By ~ 2

Author(s):

Ashutosh Tiwari ◽

Christopher Turner ◽

Peter Ball ◽

Kostas Vergidis

Keyword(s):

Business Processes ◽

Multi Objective

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The Evolution of Fuzzy Classifier for Data Mining with Applications

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_36 ◽

2010 ◽

pp. 349-358 ◽

Cited By ~ 10

Author(s):

Václav Snášel ◽

Pavel Krömer ◽

Jan Platoš ◽

Ajith Abraham

Keyword(s):

Data Mining ◽

Fuzzy Classifier

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Hybrid Optimization Scheme for Radial Basis Function Neural Network

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_69 ◽

2010 ◽

pp. 613-622 ◽

Cited By ~ 1

Author(s):

Vidyut Dey ◽

Dilip Kumar Pratihar ◽

Gauranga Lal Datta

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Hybrid Optimization ◽

Optimization Scheme ◽

Radial Basis

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Multi-objective Control Systems Design with Criteria Reduction

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_65 ◽

2010 ◽

pp. 583-587 ◽

Cited By ~ 1

Author(s):

Piotr Woźniak

Keyword(s):

Control Systems ◽

Systems Design ◽

Multi Objective ◽

Objective Control ◽

Control Systems Design

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A Hybrid Method for Multi-Objective Shape Optimization

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_61 ◽

2010 ◽

pp. 563-567

Author(s):

G. N. Sashi Kumar ◽

A. K. Mahendra ◽

A. Sanyal ◽

G. Gouthaman

Keyword(s):

Shape Optimization ◽

Hybrid Method ◽

Multi Objective ◽

Objective Shape

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Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_58 ◽

2010 ◽

pp. 543-552 ◽

Cited By ~ 1

Author(s):

Xinrui Duan ◽

Jing Liu ◽

Li Zhang ◽

Licheng Jiao

Keyword(s):

Evolutionary Algorithm ◽

Job Shop ◽

Job Shop Scheduling ◽

Shop Scheduling ◽

Multi Objective

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To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_5 ◽

2010 ◽

pp. 55-64

Author(s):

Farzaneh Shoeleh ◽

Ali Hamzeh ◽

Sattar Hashemi

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Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_43 ◽

2010 ◽

pp. 394-403 ◽

Cited By ~ 3

Author(s):

Gideon Avigad ◽

Erella Eisenstadt

Keyword(s):

Active Control ◽

Optimal Solutions ◽

Multi Objective ◽

Physical Deterioration

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Car Setup Optimisation

Lecture Notes in Computer Science - Simulated Evolution and Learning ◽

10.1007/978-3-642-17298-4_42 ◽

2010 ◽

pp. 389-393 ◽

Cited By ~ 1

Author(s):

Moisés Martínez ◽

Gustavo Recio ◽

Pablo García ◽

Emilio Martín ◽

Yago Saez

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Lecture Notes in Computer Science - Simulated Evolution and LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A Modular Decision-Tree Architecture for Better Problem Understanding

Multi-Objective Optimisation of Web Business Processes

The Evolution of Fuzzy Classifier for Data Mining with Applications

Hybrid Optimization Scheme for Radial Basis Function Neural Network

Multi-objective Control Systems Design with Criteria Reduction

A Hybrid Method for Multi-Objective Shape Optimization

Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm

To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition

Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control

Car Setup Optimisation

Lecture Notes in Computer Science - Simulated Evolution and Learning
Latest Publications