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» An evolutionary method for complex-process optimization
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117
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 1 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...
APIN
2005
127views more  APIN 2005»
15 years 16 days ago
Evolutionary Radial Basis Functions for Credit Assessment
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...
Estefane G. M. de Lacerda, André Carlos Pon...
NC
2002
210views Neural Networks» more  NC 2002»
15 years 8 days 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
76
Voted
GECCO
2003
Springer
15 years 5 months ago
An Evolutionary Algorithm for the Joint Replenishment of Inventory with Interdependent Ordering Costs
The joint replenishment of inventory problem (JRP) requires independence of minor ordering costs. In this paper we propose an evolutionary algorithm (EA) for a modification of the...
Anne L. Olsen
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
14 years 11 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti