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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 6 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 6 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
139
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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 6 months ago
Supply chain management sales using XCSR
The Trading Agent Competition in its category Supply Chain Management (TAC SCM) is an international forum where teams construct agents that control a computer assembly company in ...
María A. Franco, Ivette C. Martínez,...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 6 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 6 months ago
Multi-objective memetic approach for flexible process sequencing problems
This paper describes a multi-objective memetic approach for solving multi-objective flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be des...
Jian-Hong Chen, Jian-Hung Chen
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