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CEC
2009
IEEE
14 years 1 months ago
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...
GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
13 years 9 months ago
Integrating decision space diversity into hypervolume-based multiobjective search
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
Tamara Ulrich, Johannes Bader, Eckart Zitzler
PPSN
2004
Springer
13 years 11 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
CEC
2007
IEEE
14 years 20 days ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke
EC
2011
240views ECommerce» more  EC 2011»
13 years 1 months ago
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
Abstract—In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with ...
Johannes Bader, Eckart Zitzler