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GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
14 years 1 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
14 years 3 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
14 years 6 months ago
Reference point based multi-objective optimization using evolutionary algorithms
: Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Alth...
Kalyanmoy Deb, J. Sundar
GECCO
2003
Springer
14 years 7 months ago
Multi-objectivity as a Tool for Constructing Hierarchical Complexity
Abstract. This paper presents a novel perspective to the use of multiobjective optimization and in particular evolutionary multi-objective optimization (EMO) as a measure of comple...
Jason Teo, Minh Ha Nguyen, Hussein A. Abbass
PPSN
2004
Springer
14 years 7 months ago
Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
Olga Rudenko, Marc Schoenauer
SAMOS
2007
Springer
14 years 8 months ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...
ICANN
2007
Springer
14 years 8 months ago
Evolutionary Multi-objective Optimization of Spiking Neural Networks
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff
CEC
2008
IEEE
14 years 9 months ago
Solution diversity in multi-objective optimization: A study in virtual reality
— Solution diversity in evolutionary multi-objective optimization is considered. Although the Pareto front is ubiquitously used for the multi-objective optimization, the method o...
Özer Ciftcioglu, Michael S. Bittermann
CEC
2009
IEEE
14 years 9 months ago
A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
Michael S. Bittermann, Özer Ciftcioglu, I. Se...