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» An evolutionary method for complex-process optimization
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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of multi-modal optimization algorithms based on evolutionary algorithms
Many engineering optimization tasks involve finding more than one optimum solution. The present study provides a comprehensive review of the existing work done in the field of mul...
Gulshan Singh, Kalyanmoy Deb
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 3 months ago
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms
There are several studies on the desirable properties that a performance measure for evolutionary multiobjective algorithms must have. One of these properties is called “compati...
Giovanni Lizárraga Lizárraga, Arturo...
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GECCO
2005
Springer
219views Optimization» more  GECCO 2005»
15 years 7 months ago
An evolutionary lagrangian method for the 0/1 multiple knapsack problem
We propose a new evolutionary approach to solve the 0/1 multiple knapsack problem. We approach the problem from a new viewpoint different from traditional methods. The most remar...
Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 3 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
CEC
2008
IEEE
15 years 8 months ago
Solution diversity in multi-objective optimization: A study in virtual reality
— Solution diversity in evolutionary multi-objective optimization is considered. Although the Pareto front is ubiquitously used for the multi-objective optimization, the method o...
Özer Ciftcioglu, Michael S. Bittermann