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GECCO
2003
Springer
15 years 4 months ago
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization
Abstract. In this paper, we propose a new constraint-handling technique for evolutionary algorithms which is based on multiobjective optimization concepts. The approach uses Pareto...
Arturo Hernández Aguirre, Salvador Botello ...
IWANN
2009
Springer
15 years 5 months ago
Data Mining in Complex Diseases Using Evolutionary Computation
Abstract. A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a tech...
Vanessa Aguiar, Jose A. Seoane, Ana Freire, Cristi...
EVOW
2005
Springer
15 years 4 months ago
Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems
Abstract. Evolutionary algorithms are powerful tools in search and optimization tasks with several applications in complex engineering problems. However, setting all associated par...
Marcos H. Maruo, Heitor S. Lopes, Myriam Regattier...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 2 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
CEC
2008
IEEE
15 years 5 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...