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» An evolutionary method for complex-process optimization
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 6 months ago
Takeover time curves in random and small-world structured populations
We present discrete stochastic mathematical models for the growth curves of synchronous and asynchronous evolutionary algorithms with populations structured according to a random ...
Mario Giacobini, Marco Tomassini, Andrea Tettamanz...
129
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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
15 years 6 months ago
An Evolutionary Approach with Pharmacophore-Based Scoring Functions for Virtual Database Screening
We have developed a new tool for virtual database screening. This tool, referred to as the Generic Evolutionary Method for molecular DOCKing (GEMDOCK), combines an evolutionary app...
Jinn-Moon Yang, Tsai-Wei Shen, Yen-Fu Chen, Yi-Yua...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 6 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
87
Voted
GECCO
2004
Springer
15 years 6 months ago
Hybridizing Evolutionary Testing with the Chaining Approach
Fitness functions derived for certain white-box test goals can cause problems for Evolutionary Testing (ET), due to a lack of sufficient guidance to the required test data. Often t...
Phil McMinn, Mike Holcombe
PATAT
2004
Springer
141views Education» more  PATAT 2004»
15 years 6 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...