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EC
2002
228views ECommerce» more  EC 2002»
13 years 8 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 5 days ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
ESA
2007
Springer
120views Algorithms» more  ESA 2007»
14 years 2 months ago
Evolutionary Equilibrium in Bayesian Routing Games: Specialization and Niche Formation
Abstract. In this paper we consider Nash Equilibria for the selfish routing model proposed in [12], where a set of n users with tasks of different size try to access m parallel l...
Petra Berenbrink, Oliver Schulte
TASE
2008
IEEE
13 years 8 months ago
Steady-State Throughput and Scheduling Analysis of Multicluster Tools: A Decomposition Approach
Abstract--Cluster tools are widely used as semiconductor manufacturing equipment. While throughput analysis and scheduling of single-cluster tools have been well-studied, research ...
Jingang Yi, Shengwei Ding, Dezhen Song, Mike Tao Z...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer