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» On Using Populations of Sets in Multiobjective Optimization
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CEC
2008
IEEE
15 years 4 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 3 months ago
Adaptive sizing of populations and number of islands in distributed genetic algorithms
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
Johan Berntsson, Maolin Tang
OR
2010
Springer
14 years 4 months ago
A new multi-objective optimization formulation for rail-car fleet sizing problems
Abstract With potential application to a variety of industries, fleet sizing problems present a prevalent and significant challenge for engineers and managers. This is especially t...
Hamid Reza Sayarshad, Timothy Marler
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 10 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
IPPS
2005
IEEE
15 years 3 months ago
A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenar...
Enrique Alba, Bernabé Dorronsoro, Francisco...