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» Computational complexity and evolutionary computation
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CIG
2005
IEEE
15 years 10 months ago
An Evolutionary Approach to Strategies for the Game of Monopoly
The game of Monopoly® is a turn-based game of chance with a substantial element of skill. Though much of the outcome of any single game is determined by the rolling of dice, an ef...
Colin Frayn
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 10 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
CEC
2009
IEEE
15 years 11 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...
CEC
2009
IEEE
15 years 11 months ago
Evolutionary programming with ensemble of explicit memories for dynamic optimization
—This paper presents the evolutionary programming with an ensemble of memories to deal with optimization problems in dynamic environments. The proposed algorithm modifies a recen...
Ling Yu, Ponnuthurai N. Suganthan
GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
15 years 6 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf