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CEC
2009
IEEE
15 years 11 months ago
Multi-objective optimization using self-adaptive differential evolution algorithm
- In this paper, we propose a Multiobjective Self-adaptive Differential Evolution algorithm with objective-wise learning strategies (OW-MOSaDE) to solve numerical optimization pr...
Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Malli...
SETN
2010
Springer
15 years 8 months ago
Genetic Algorithm Solution to Optimal Sizing Problem of Small Autonomous Hybrid Power Systems
The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Em...
131
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AE
2005
Springer
15 years 10 months ago
An Immunological Algorithm for Global Numerical Optimization
Abstract. Numerical optimization of given objective functions is a crucial task in many real-life problems. The present article introduces an immunological algorithm for continuous...
Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicos...
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
15 years 8 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
CEC
2010
IEEE
14 years 8 months ago
Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison
— This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. ...
Gabriele Valentini, Luigi Malagò, Matteo Ma...