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ISDA
2009
IEEE
15 years 9 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
124
Voted
PPSN
2004
Springer
15 years 8 months ago
An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem
Abstract. The multiple sequence alignment problem (MSA) can be reformulated as the problem of finding a maximum weight trace in an alignment graph, which is derived from all pairw...
Gabriele Koller, Günther R. Raidl
ICASSP
2011
IEEE
14 years 6 months ago
A variable step size evolutionary affine projection algorithm
It is well known that the affine projection algorithm (APA) offers a good tradeoff between convergence rate/tracking and computational complexity. Recently, the evolutionary APA (...
Felix Albu, Constantin Paleologu, Jacob Benesty
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 8 months ago
Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
Randomized search heuristics, among them randomized local search and evolutionary algorithms, are applied to problems whose structure is not well understood, as well as to problems...
Frank Neumann, Ingo Wegener
EC
2000
96views ECommerce» more  EC 2000»
15 years 2 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