190 search results - page 5 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
95
Voted
GECCO
2003
Springer
15 years 7 months ago
2003
Springer
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
115
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CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
121
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GECCO
2009
Springer
15 years 6 months ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
126
Voted
CEC
2009
IEEE
15 years 6 months ago
2009
IEEE
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
93
Voted
EMO
2003
Springer
15 years 7 months ago
2003
Springer
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...