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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 11 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
HPCC
2007
Springer
14 years 4 months ago
Hybrid Line Search for Multiobjective Optimization
Abstract. The aggregation of objectives in multiple criteria programming is one of the simplest and widely used approach. But it is well known that these techniques sometimes fail ...
Crina Grosan, Ajith Abraham
EMO
2006
Springer
124views Optimization» more  EMO 2006»
14 years 1 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
EMO
2006
Springer
110views Optimization» more  EMO 2006»
14 years 1 months ago
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
Recent works in evolutionary multiobjective optimization suggest to shift the focus from solely evaluating optimization success in the objective space to also taking the decision s...
Günter Rudolph, Boris Naujoks, Mike Preuss
CEC
2007
IEEE
14 years 1 months ago
Ranking-Dominance and Many-Objective Optimization
An alternative relation to Pareto-dominance is studied. The relation is based on ranking a set of solutions according to each separate objective and an aggregation function to calc...
Saku Kukkonen, Jouni Lampinen