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Path dependence, stigmergy, and memetic reification in the formation of the 27 Club myth. [PDF]
Dunivin ZO, Kaminski P.
europepmc +1 more source
Aquila Optimization-Assisted Artificial Neural Network for Classification Problems. [PDF]
Kayhan G, Unal SH.
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A hybrid multi-level ant colony optimization framework for integrated production scheduling and vehicle routing. [PDF]
Ashour M +3 more
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Memetic algorithms outperform evolutionary algorithms in multimodal optimisation [PDF]
Memetic algorithms integrate local search into an evolutionary algorithm to combine the advantages of rapid exploitation and global optimisation. We provide a rigorous runtime analysis of memetic algorithms on the Hurdle problem, a landscape class of ...
Dirk Sudholt
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© Springer International Publishing AG, part of Springer Nature 2018. All rights reserved. Memetic algorithms provide one of the most effective and flexible metaheuristic approaches for tackling hard optimization problems.
Luke Mathieson +2 more
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Memetic algorithms and memetic computing optimization: A literature review
Swarm and Evolutionary Computation, 2012Carlos Cotta, Ferrante Neri
exaly
Parallel machine scheduling problems using memetic algorithms
Computers and Industrial Engineering, 1997Mitsuo Gen, Runwei Cheng
exaly
The impact of parametrization in memetic evolutionary algorithms
Theoretical Computer Science, 2009Dirk Sudholt
exaly
Multiobjective memetic algorithms for time and space assembly line balancing
Engineering Applications of Artificial Intelligence, 2012Oscar Cordon +2 more
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