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ASIAMS
2007
IEEE
15 years 9 months ago
Modified Line Search Method for Global Optimization
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
Crina Grosan, Ajith Abraham
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
ISVLSI
2007
IEEE
151views VLSI» more  ISVLSI 2007»
15 years 9 months ago
Design of a MCML Gate Library Applying Multiobjective Optimization
In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of e...
Roberto Pereira-Arroyo, Pablo Alvarado-Moya, Wolfg...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
119
Voted
HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 3 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti