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» Evolutionary Algorithms for the Satisfiability Problem
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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 4 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
135
Voted
TEC
2010
77views more  TEC 2010»
14 years 10 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader
169
Voted
AE
2007
Springer
15 years 9 months ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera
EVOW
2005
Springer
15 years 9 months ago
Population Training Heuristics
This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in ...
Alexandre César Muniz de Oliveira, Luiz Ant...
EVOW
2001
Springer
15 years 8 months ago
Belief Revision by Lamarckian Evolution
We propose a multi-agent genetic algorithm to accomplish belief revision. The algorithm implements a new evolutionary strategy resulting from a combination of Darwinian and Lamarck...
Evelina Lamma, Luís Moniz Pereira, Fabrizio...