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GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 4 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2010
Springer
214views Optimization» more  GECCO 2010»
15 years 1 months ago
Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization
This paper reports about the application of a new variant of multiobjective Mixed-Integer Evolution Strategy to a warehouse design optimization problem. The algorithm is able to d...
Edgar Reehuis, Thomas Bäck
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 4 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 1 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
VLSID
2006
IEEE
192views VLSI» more  VLSID 2006»
15 years 4 months ago
Beyond RTL: Advanced Digital System Design
This tutorial focuses on advanced techniques to cope with the complexity of designing modern digital chips which are complete systems often containing multiple processors, complex...
Shiv Tasker, Rishiyur S. Nikhil