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GECCO
2008
Springer
153views Optimization» more  GECCO 2008»
13 years 6 months ago
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
Giovanni Lizárraga Lizárraga, Arturo...
CEC
2007
IEEE
14 years 2 days ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
CCECE
2006
IEEE
13 years 11 months ago
Dynamic and Parallel Approaches to Optimal Evolutionary Tree Construction
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as Maximum parsimony (MP) and Maximum likelihood (ML). Conventional MP heuristics for produc...
Anupam Bhattacharjee, Kazi Zakia Sultana, Zalia Sh...
TCAD
2002
110views more  TCAD 2002»
13 years 5 months ago
A constructive genetic algorithm for gate matrix layout problems
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...
Alexandre César Muniz de Oliveira, Luiz Ant...
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
13 years 12 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...