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EOR
2006
148views more  EOR 2006»
13 years 7 months ago
Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
Karl F. Doerner, Walter J. Gutjahr, Richard F. Har...
EMO
2005
Springer
194views Optimization» more  EMO 2005»
14 years 1 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
TACAS
2010
Springer
251views Algorithms» more  TACAS 2010»
14 years 26 days ago
Approximating the Pareto Front of Multi-criteria Optimization Problems
We propose a general methodology for approximating the Pareto front of multi-criteria optimization problems. Our search-based methodology consists of submitting queries to a constr...
Julien Legriel, Colas Le Guernic, Scott Cotton, Od...
CEC
2007
IEEE
14 years 2 months ago
Multi-objective differential evolution (MODE) for optimization of supply chain planning and management
— Many problems in the engineering domain involve more than one objective to be optimized simultaneously. The optimal solution to a multi-objective function results in a set of e...
B. V. Babu, Ashish M. Gujarathi
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...