Book Chapter10.1201/B19133-9
Wolf-Based Search Algorithms
Aboul Ella Hassanien,Eid Alamry +1 more
- 10 Dec 2015
- pp 171-183
About: The article was published on 10 Dec 2015. The article focuses on the topics: Beam search & Best-first search.
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References
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
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Feature Subset Selection Approach by Gray-Wolf Optimization
Eid Emary,Hossam M. Zawbaa,Hossam M. Zawbaa,Crina Grosan,Abul Ella Hassenian +4 more
- 01 Jan 2015
TL;DR: A classification accuracy-based fitness function is proposed by gray-wolf optimizer to find optimal feature subset and proves much robustness against initialization in comparison with PSO and GA optimizers.
212
Wolf Pack Algorithm for Unconstrained Global Optimization
Husheng Wu,Fengming Zhang +1 more
TL;DR: The wolf pack unites and cooperates closely to hunt for the prey in the Tibetan Plateau, which shows wonderful skills and amazing strategies and a new heuristic swarm intelligent method, named wolf pack algorithm (WPA), which has better convergence and robustness, especially for high-dimensional functions.
Wolf search algorithm for attribute reduction in classification
Waleed Yamany,Eid Emary,Aboul Ella Hassanien +2 more
- 01 Dec 2014
TL;DR: A system for feature selection is proposed in this paper using a modified version of the wolf search algorithm optimization, a bio-inspired heuristic optimization algorithm that imitates the way wolves search for food and survive by avoiding their enemies.
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Wolf search algorithm with ephemeral memory
Rui Tang,Simon Fong,Xin-She Yang,Suash Deb +3 more
- 26 Nov 2012
TL;DR: This paper proposes a new bio-inspired heuristic optimization algorithm called the Wolf Search Algorithm (WSA) that imitates the way wolves search for food and survive by avoiding their enemies.