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EC
2000
96views ECommerce» more  EC 2000»
13 years 7 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 1 months ago
Convergence Examples of a Filter-Based Evolutionary Algorithm
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
Lauren M. Clevenger, William E. Hart
PPSN
2010
Springer
13 years 6 months ago
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System
In this paper, we use the exact model (or dynamical system approach) to describe the standard evolutionary algorithm (EA) as a discrete dynamical system for dynamic optimization pr...
Renato Tinós, Shengxiang Yang
CCECE
2006
IEEE
14 years 1 months ago
Dynamic and Parallel Approaches to Optimal Evolutionary Tree Construction
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as Maximum parsimony (MP) and Maximum likelihood (ML). Conventional MP heuristics for produc...
Anupam Bhattacharjee, Kazi Zakia Sultana, Zalia Sh...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
13 years 11 months ago
Real-time construction of aircraft landing schedules using an evolutionary algorithm
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
Neil Urquhart