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GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 6 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
EC
2008
164views ECommerce» more  EC 2008»
15 years 14 days ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
150
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MEMETIC
2010
311views more  MEMETIC 2010»
14 years 7 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
COR
2008
107views more  COR 2008»
15 years 15 days ago
Evolutionary functional testing
Evolutionary Testing is a promising approach for automating the testing of software-based systems. A number of papers have been published in the last years which have successfully...
Oliver Bühler, Joachim Wegener
126
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EVOW
2008
Springer
15 years 2 months ago
A Hybrid Column Generation Approach for the Berth Allocation Problem
Abstract. The Berth Allocation Problem (BAP) consists on programming and allocating ships to berthing areas along a quay. The BAP is modeled as a vehicle routing problem and a rece...
Geraldo R. Mauri, Alexandre C. M. Oliveira, Luiz A...