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EMO
2003
Springer
81views Optimization» more  EMO 2003»
10 years 5 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
EMO
2003
Springer
136views Optimization» more  EMO 2003»
10 years 5 months ago
Solving Multi-criteria Optimization Problems with Population-Based ACO
In this paper a Population-based Ant Colony Optimization approach is proposed to solve multi-criteria optimization problems where the population of solutions is chosen from the set...
Michael Guntsch, Martin Middendorf
EMO
2003
Springer
137views Optimization» more  EMO 2003»
10 years 5 months ago
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem
This article proposes the Two-Phase Local Search for finding a good approximate set of non-dominated solutions. The two phases of this procedure are to (i) generate an initial sol...
Luis Paquete, Thomas Stützle
EMO
2003
Springer
98views Optimization» more  EMO 2003»
10 years 5 months ago
Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map
Self-Organizing Maps (SOMs) have been used to visualize tradeoffs of Pareto solutions in the objective function space for engineering design obtained by Evolutionary Computation. F...
Shigeru Obayashi, Daisuke Sasaki
EMO
2003
Springer
93views Optimization» more  EMO 2003»
10 years 5 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
EMO
2003
Springer
86views Optimization» more  EMO 2003»
10 years 5 months ago
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems
Abstract. The classic NFL theorems are invariably cast in terms of single objective optimization problems. We confirm that the classic NFL theorem holds for general multiobjective ...
David Corne, Joshua D. Knowles
EMO
2003
Springer
162views Optimization» more  EMO 2003»
10 years 5 months ago
PISA: A Platform and Programming Language Independent Interface for Search Algorithms
This paper introduces an interface specification (PISA) that allows to separate the problem-specific part of an optimizer from the problem-independent part. We propose a view of ...
Stefan Bleuler, Marco Laumanns, Lothar Thiele, Eck...
EMO
2003
Springer
109views Optimization» more  EMO 2003»
10 years 5 months ago
A Population and Interval Constraint Propagation Algorithm
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...
Vincent Barichard, Jin-Kao Hao
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