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» A Multiobjective Frontier Search Algorithm
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IJCAI
2007
13 years 9 months ago
State Space Search for Risk-Averse Agents
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
Patrice Perny, Olivier Spanjaard, Louis-Xavier Sto...
EMO
2009
Springer
219views Optimization» more  EMO 2009»
14 years 2 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
CEC
2008
IEEE
14 years 2 months ago
Examination of multi-objective optimization method for global search using DIRECT and GA
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu, Mit...
EVOW
2008
Springer
13 years 9 months ago
Multiobjective Prototype Optimization with Evolved Improvement Steps
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
Jirí Kubalík, Richard Mordinyi, Stef...
TEC
2010
77views more  TEC 2010»
13 years 2 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader