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CEC
2010
IEEE
15 years 17 days ago
Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems
Several constraint handling techniques have been proposed to be used with the evolutionary algorithms (EAs). According to the no free lunch theorem, it is impossible for a single c...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...
GECCO
2011
Springer
232views Optimization» more  GECCO 2011»
14 years 7 months ago
Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis
When the epistasis of the fitness function is bounded by a constant, we show that the expected fitness of an offspring of the (1+1)-EA can be efficiently computed for any point...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe
CEC
2011
IEEE
14 years 3 months ago
Effective ranking + speciation = Many-objective optimization
—Multiobjective optimization problems have been widely addressed using evolutionary computation techniques. However, when dealing with more than three conflicting objectives (th...
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos...
LION
2009
Springer
136views Optimization» more  LION 2009»
15 years 10 months ago
Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem
The fitness landscape of the resource constrained project scheduling problem is investigated by examining the search space position type distribution and the correlation between t...
Jens Czogalla, Andreas Fink
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 9 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu