Results 261 to 270 of about 600,362 (302)
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Cat hunting optimization algorithm: a novel optimization algorithm
Evolutionary Intelligence, 2021This article introduces a new version of cat behavior in hunting. Cat Hunting Optimization (CHO) algorithm Unlike cat optimization algorithms, search strategy is not limited to tracking and attacking. The CHO algorithm has various behaviors such as changing the nature of the search from global to local, creating the number of positions based on the ...
Azam Ghaedi +2 more
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Computers and Industrial Engineering, 2021 Metaheuristics play a crucial role in solving optimization problems. The majority of such algorithms are inspired by collective intelligence and foraging of creatures in nature. In this paper, a new metaheuristic is proposed inspired by African vultures'
Benyamin Abdollahzadeh +2 more
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Expert Systems with Applications, 2021
Abstract In this paper, Remora Optimization Algorithm (ROA) is proposed, which is a new bionics-based, natural-inspired, and meta-heuristic algorithm. The inspiration for ROA is mainly due to the parasitic behavior of remora. Different locations are updated in different hosts: In some large hosts, remora feeds on the host's ectoparasites or wreckage ...
Heming Jia, Xiaoxu Peng, Chunbo Lang
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Abstract In this paper, Remora Optimization Algorithm (ROA) is proposed, which is a new bionics-based, natural-inspired, and meta-heuristic algorithm. The inspiration for ROA is mainly due to the parasitic behavior of remora. Different locations are updated in different hosts: In some large hosts, remora feeds on the host's ectoparasites or wreckage ...
Heming Jia, Xiaoxu Peng, Chunbo Lang
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Signal Processing, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jimin Ye +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jimin Ye +3 more
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Expert Systems with Applications, 2014
In this article, a new evolutionary algorithm, Forest Optimization Algorithm (FOA), suitable for continuous nonlinear optimization problems has been proposed. It is inspired by few trees in the forests which can survive for several decades, while other trees could live for a limited period.
Manizheh Ghaemi +1 more
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In this article, a new evolutionary algorithm, Forest Optimization Algorithm (FOA), suitable for continuous nonlinear optimization problems has been proposed. It is inspired by few trees in the forests which can survive for several decades, while other trees could live for a limited period.
Manizheh Ghaemi +1 more
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The tornadogenesis optimization algorithm
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017The Tornadogenesis Optimization Algorithm (TOA), a new air mass population based meta-heuristic optimization (MHO) algorithm is devised in this paper. Implementation of TOA has taken its root from the formation of tornadoes, particularly at Oklahoma State of United States.
Ravi Kumar Saidala, Nagaraju Devarakonda
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2006 International Conference on Computational Intelligence and Security, 2006
A novel algorithm called seeker optimization algorithm (SOA) for the real-parameter optimization is proposed in this paper. SOA is based on the concept of simulating the act of human randomized search. In the SOA, after given center point, search direction, search radius, and trust degree, every seeker moves to a new position (next solution) from his ...
Chaohua Dai, Yunfang Zhu, Weirong Chen
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A novel algorithm called seeker optimization algorithm (SOA) for the real-parameter optimization is proposed in this paper. SOA is based on the concept of simulating the act of human randomized search. In the SOA, after given center point, search direction, search radius, and trust degree, every seeker moves to a new position (next solution) from his ...
Chaohua Dai, Yunfang Zhu, Weirong Chen
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A Conic Algorithm for Optimization
SIAM Journal on Scientific and Statistical Computing, 1985zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gourgeon, Hervé, Nocedal, Jorge
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2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 2017
This paper proposes new algorithm called Khums Optimization Algorithm (KOA). KOA is a population based algorithm like GA, BBO and PSO, and inspired from the religious Islamic tax objectives and execution. KOA has two process in searching the optimal solution:collection and distribution.
Zakareya Hasan, Mohamed E. El-Hawary
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This paper proposes new algorithm called Khums Optimization Algorithm (KOA). KOA is a population based algorithm like GA, BBO and PSO, and inspired from the religious Islamic tax objectives and execution. KOA has two process in searching the optimal solution:collection and distribution.
Zakareya Hasan, Mohamed E. El-Hawary
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ALGORITHMS, LEARNING, AND OPTIMIZATION
2020This thesis covers some algorithmic aspects of online machine learning and optimization. In Chapter 1 we design algorithms with state-of-the-art regret guarantees for the problem dynamic pricing. In Chapter 2 we move on to an asynchronous online learning setting in which only some of the agents in the network are active at each time step.
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