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SIAMJO
2000
101views more  SIAMJO 2000»
15 years 6 months ago
An Efficient Algorithm for Minimizing a Sum of p-Norms
We study the problem of minimizing a sum of p-norms where p is a fixed real number in the interval [1, ]. Several practical algorithms have been proposed to solve this problem. How...
Guoliang Xue, Yinyu Ye
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
16 years 6 days ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
16 years 2 days ago
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
Corina Rotar
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 10 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
CEC
2010
IEEE
15 years 7 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...