Intensification Strategies for Extremal Optimisation-Reference-Cited by-同舟云学术

Intensification Strategies for Extremal Optimisation

Published:2010 Issue: Volume: Page:115-124
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Randall Marcus,Lewis Andrew

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-17298-4_12

Reference13 articles.

1. Bak, P.: How Nature Works. Springer, New York (1996)

2. Lecture Notes in Computer Science;R. Beausoleil,2000

3. Lecture Notes in Computer Science;C. Blum,2002

4. Boettcher, S., Percus, A.: Extremal optimization: Methods derived from co-evolution. In: Proceedings of the Genetic and Evolutionary and Computation Conference, pp. 825–832. Moran Kaufmann, San Francisco (1999)

5. Boettcher, S., Percus, A.: Combining local search with co-evolution in a remarkably simple way. In: Proceedings of the Congress on Evolutionary Computation, pp. 1578–1584. IEEE Service Center, Piscataway (2000)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum and Digital Annealing for the Quadratic Assignment Problem;2022 IEEE International Conference on Quantum Software (QSW);2022-07

2. Gradient-based adaptive particle swarm optimizer with improved extremal optimization;Applied Intelligence;2018-07-18

3. Solving the Quadratic Assignment Problem with Cooperative Parallel Extremal Optimization;Evolutionary Computation in Combinatorial Optimization;2016

4. Identification of Hindmarsh-Rose Neuron Networks Using GEO Metaheuristic;Lecture Notes in Computer Science;2011