Results 141 to 150 of about 2,488 (163)
A Multi-Task Ensemble Strategy for Gene Selection and Cancer Classification. [PDF]
Bioengineering (Basel)Lin S, Lin Z, Zhang J, Leung MF.
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A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. [PDF]
PeerJ Comput SciP A +3 more
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Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning. [PDF]
Sci RepHuang X +5 more
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Memetic algorithms outperform evolutionary algorithms in multimodal optimisation [PDF]
Artificial Intelligence, 2020 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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Lamarckian memetic algorithms: local optimum and connectivity structure analysis
Memetic Computing, 2009 Memetic algorithms (MAs) represent an emerging field that has attracted increasing research interest in recent times. Despite the popularity of the field, we remain to know rather little of the search mechanisms of MAs. Given the limited progress made on
Yew-Soon Ong +2 more
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, 2018 © 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.
CARLOS Cotta +2 more
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Multiobjective memetic algorithms for time and space assembly line balancing
Engineering Applications of Artificial Intelligence, 2012 This paper presents three proposals of multiobjective memetic algorithms to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing.
Manuel Chica +2 more
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The impact of parametrization in memetic evolutionary algorithms
Theoretical Computer Science, 2009 Memetic (evolutionary) algorithms integrate local search into the search process of evolutionary algorithms. As computational resources have to be spread adequately among local and evolutionary search, one has to care about when to apply local search and
Dirk Sudholt
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Handbook of Memetic Algorithms [PDF]
Studies in Computational Intelligence, 2012 Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems.
Neri, Ferrante +2 more
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