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CEC
2010
IEEE
15 years 27 days ago
Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Peter Dueholm Justesen, Rasmus K. Ursem
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 4 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
ATAL
2008
Springer
15 years 1 months ago
Cooperative search for optimizing pipeline operations
We present an application of a multi-agent cooperative search approach to the problem of optimizing gas pipeline operations, i.e. finding control parameters for a gas transmission...
T. Mora, Abu B. Sesay, Jörg Denzinger, Hossei...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
15 years 5 months ago
Monotonic solution concepts in coevolution
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
Sevan G. Ficici
WECWIS
2009
IEEE
162views ECommerce» more  WECWIS 2009»
15 years 6 months ago
QoS-Driven Web Service Composition Using Learning-Based Depth First Search
—The goal of the Web Service Composition (WSC) problem is to find an optimal composition of web services to satisfy a given request using their syntactic and/or semantic feature...
Wonhong Nam, Hyunyoung Kil, Jungjae Lee