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» The State Problem for Evolutionary Testing
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ESWA
2010
175views more  ESWA 2010»
14 years 8 months ago
A multi-objective PSO for job-shop scheduling problems
Most previous research into the job-shop scheduling problem has concentrated on finding a single optimal solution (e.g., makespan), even though the actual requirement of most prod...
D. Y. Sha, Hsing-Hung Lin
AMC
2006
115views more  AMC 2006»
14 years 10 months ago
A memetic algorithm for a vehicle routing problem with backhauls
This paper considers an extension of a vehicle routing problem with backhauls (VRPB). In this problem, a set of costumers are divided in two subsets consisting of linehaul and bac...
Reza Tavakkoli-Moghaddam, A. R. Saremi, M. S. Ziae...
NC
2002
210views Neural Networks» more  NC 2002»
14 years 9 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
CEC
2005
IEEE
15 years 3 months ago
Performance of aggregation pheromone system on unimodal and multimodal problems
This paper describes and analyzes the aggregation pheromone system (APS) algorithm, which extends ant colony optimization (ACO) to continuous domains. APS uses the collective behav...
Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 3 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg