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» Analyzing Software Evolvability
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TCIAIG
2010
15 years 1 months ago
Evaluating Root Parallelization in Go
Abstract--Parallelizing Monte-Carlo tree search has been considered to be a way to improve the strength of computer Go programs. In this paper, we analyze the performance of two ro...
Yusuke Soejima, Akihiro Kishimoto, Osamu Watanabe
WWW
2004
ACM
16 years 7 months ago
Ranking the web frontier
The celebrated PageRank algorithm has proved to be a very effective paradigm for ranking results of web search algorithms. In this paper we refine this basic paradigm to take into...
Nadav Eiron, Kevin S. McCurley, John A. Tomlin
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 21 days ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
FMOODS
2007
15 years 8 months ago
A Probabilistic Formal Analysis Approach to Cross Layer Optimization in Distributed Embedded Systems
We present a novel approach, based on probabilistic formal methods, to developing cross-layer resource optimization policies for resource limited distributed systems. One objective...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
HIS
2008
15 years 8 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...