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» Evolutionary algorithms and matroid optimization problems
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PPSN
2004
Springer
14 years 1 months ago
Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization
It is typical for the EA community that theory follows experiments. Most theoretical approaches use some model of the considered evolutionary algorithm (EA) but there is also some ...
Patrick Briest, Dimo Brockhoff, Bastian Degener, M...
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 9 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
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
CEC
2010
IEEE
13 years 9 months 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
PPSN
2004
Springer
14 years 1 months ago
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA
Abstract. A two-population Genetic Algorithm for constrained optimization is exercised and analyzed. One population consists of feasible candidate solutions evolving toward optimal...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood