190 search results - page 1 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
EC
2002
13 years 4 months ago
2002
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in solving multiobjective optimization problems, where the goal is to nd a number of ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
This paper proposes a new mating scheme for evolutionary multiobjective optimization (EMO), which simultaneously improves the convergence speed to the Pareto-front and the diversit...