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EMO
2009
Springer
190views Optimization» more  EMO 2009»
13 years 11 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
EMO
2009
Springer
174views Optimization» more  EMO 2009»
13 years 11 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
EMO
2009
Springer
159views Optimization» more  EMO 2009»
13 years 11 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
EMO
2009
Springer
155views Optimization» more  EMO 2009»
13 years 11 months ago
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
A nadir point is constructed by the worst objective values of the solutions of the entire Pareto-optimal set. Along with the ideal point, the nadir point provides the range of obje...
Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma
EMO
2009
Springer
219views Optimization» more  EMO 2009»
13 years 11 months ago
An Elitist GRASP Metaheuristic for the Multi-objective Quadratic Assignment Problem
We propose an elitist Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic algorithm, called mGRASP/MH, for approximating the Pareto-optimal front in the multi-objecti...
Hui Li, Dario Landa Silva