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» Evolutionary algorithms and matroid optimization problems
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CEC
2008
IEEE
14 years 2 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
ICNC
2005
Springer
14 years 1 months ago
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization
Advances in grid computing have recently sparkled the research and development of Grid problem solving environments for complex design. Parallelism in the form of distributed compu...
Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee...
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
14 years 1 months ago
Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics
In this paper we present an evaluation of selected parallel strategies for Simulated Annealing and Simulated Evolution, identifying the impact of various issues on the effectivene...
Sadiq M. Sait, Syed Sanaullah, Ali Mustafa Zaidi, ...
COR
2007
112views more  COR 2007»
13 years 8 months ago
The bi-objective covering tour problem
The paper discusses the definition and solution of a bi-objective routing problem, namely the bi-objective covering tour problem. The bi-objective CTP is a generalization of the ...
Nicolas Jozefowiez, Frédéric Semet, ...
EMO
2009
Springer
140views Optimization» more  EMO 2009»
14 years 17 days ago
On Using Populations of Sets in Multiobjective Optimization
Abstract. Most existing evolutionary approaches to multiobjective optimization aim at finding an appropriate set of compromise solutions, ideally a subset of the Pareto-optimal se...
Johannes Bader, Dimo Brockhoff, Samuel Welten, Eck...