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» Comparison of Multiobjective Evolutionary Algorithms: Empiri...
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GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
16 years 4 days ago
The multi-objective next release problem
This paper is concerned with the Multi-Objective Next Release Problem (MONRP), a problem in search-based requirements engineering. Previous work has considered only single objecti...
Yuanyuan Zhang, Mark Harman, S. Afshin Mansouri
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 11 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
AAAI
2007
15 years 8 months ago
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 9 months ago
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing
Evolutionary algorithms are among the metaheuristic search methods that have been applied to the structural test data generation problem. Fitness evaluation methods play an import...
H. Turgut Uyar, A. Sima Etaner-Uyar, A. Emre Harma...
EH
2003
IEEE
117views Hardware» more  EH 2003»
15 years 11 months ago
The Evolutionary Design and Synthesis of Non-Linear Digital VLSI Systems
This paper describes a multi-objective Evolutionary Algorithm (EA) system for the synthesis of efficient non-linear VLSI circuit modules. The EA takes the specification for a no...
Robert Thomson, Tughrul Arslan