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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
16 years 5 days ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
INFOCOM
2000
IEEE
15 years 11 months ago
Efficient Handoff Rerouting Algorithms: A Competitive On-Line Algorithmic Approach
—This paper considers the design of handoff rerouting algorithms for reducing the overall session cost in personal communication systems (PCS). Most modern communication systems ...
Yigal Bejerano, Israel Cidon, Joseph Naor
195
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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 10 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
ATAL
2007
Springer
16 years 25 days ago
A winner determination algorithm for auction-based decentralized scheduling
Categories and Subject Descriptors Artificial Intelligence General Terms Keywords
Chun Wang, Hamada Ghenniwa, Weiming Shen
JGAA
2007
135views more  JGAA 2007»
15 years 6 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento