Search Results - "Deb, Suash"

Monarch butterfly optimization by Wang, Gai-Ge, Deb, Suash, Cui, Zhihua

“…In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn from the northern USA and southern…”
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Multiobjective cuckoo search for design optimization by Yang, Xin-She, Deb, Suash

“…Many design problems in engineering are typically multiobjective, under complex nonlinear constraints. The algorithms needed to solve multiobjective problems…”
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Monarch butterfly optimization: A comprehensive review by Feng, Yanhong, Deb, Suash, Wang, Gai-Ge, Alavi, Amir H.

“…•A comprehensive review of the monarch butterfly algorithm is proposed.•The different variants based on monarch butterfly algorithm are analyzed.•The…”
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Solving 0–1 knapsack problem by a novel binary monarch butterfly optimization by Feng, Yanhong, Wang, Gai-Ge, Deb, Suash, Lu, Mei, Zhao, Xiang-Jun

“…This paper presents a novel binary monarch butterfly optimization (BMBO) method, intended for addressing the 0–1 knapsack problem (0–1 KP). Two tuples,…”
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A new monarch butterfly optimization with an improved crossover operator by Wang, Gai-Ge, Deb, Suash, Zhao, Xinchao, Cui, Zhihua

“…Recently, by examining and simulating the migration behavior of monarch butterflies in nature, Wang et al. proposed a new swarm intelligence-based…”
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Post hoc analysis of sport performance with differential evolution by Fister, Iztok, Fister, Dušan, Deb, Suash, Mlakar, Uroš, Brest, Janez, Fister, Iztok

“…Advising athletes how to improve their performance after a race is a very important aspect of sport training. It can also be called a post hoc analysis, which…”
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On Selection of a Benchmark by Determining the Algorithms' Qualities by Fister, Iztok, Brest, Janez, Iglesias, Andres, Galvez, Akemi, Deb, Suash, Fister, Iztok

“…The authors got the motivation for writing the article based on an issue, with which developers of the newly developed nature-inspired algorithms are usually…”
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Attraction and diffusion in nature-inspired optimization algorithms by Yang, Xin-She, Deb, Suash, Hanne, Thomas, He, Xingshi

“…Nature-inspired algorithms usually use some form of attraction and diffusion as a mechanism for exploitation and exploration. In this paper, we investigate the…”
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A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor by Rizk-Allah, Rizk M., El-Sehiemy, Ragab A., Deb, Suash, Wang, Gai-Ge

“…This paper addresses a novel multi-objective fruit fly optimization algorithm (MOFOA) for solving multi-objective optimization problems. The essence of MOFOA…”
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Solving IIR system identification by a variant of particle swarm optimization by Zou, De-Xuan, Deb, Suash, Wang, Gai-Ge

“…A variant of particle swarm optimization (PSO) is represented to solve the infinitive impulse response (IIR) system identification problem. Called improved PSO…”
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Development of a framework for modeling preference times in triathlon by Fister, Iztok, Iglesias, Andres, Deb, Suash, Fister, Dušan, Fister, Iztok

“…Preference time in a triathlon denotes the time that is planned to be achieved by an athlete in a particular competition. Usually, the preference time is…”
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Theory and applications of soft computing methods by Cui, Zhihua, Gao, Xiao-Zhi, Deb, Suash

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Special issue of 2017 India International Congress on Computational Intelligence by Deb, Suash, Wong, Ka-Chun, Hanne, Thomas

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Gaussian Guided Self-Adaptive Wolf Search Algorithm Based on Information Entropy Theory by Song, Qun, Fong, Simon, Deb, Suash, Hanne, Thomas

“…Nowadays, swarm intelligence algorithms are becoming increasingly popular for solving many optimization problems. The Wolf Search Algorithm (WSA) is a…”
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Finding approximate solutions of NP-hard optimization and TSP problems using elephant search algorithm by Deb, Suash, Fong, Simon, Tian, Zhonghuan, Wong, Raymond K., Mohammed, Sabah, Fiaidhi, Jinan

“…A novel bio-inspired optimization algorithm called elephant search algorithm (ESA) has been applied to solve NP-hard problems including the classical traveling…”
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Special issue: The International Conference on Soft Computing and Machine Intelligence by Deb, Suash, Hanne, Thomas, Gao, Xiao-Zhi

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Dynamic group search algorithm for solving an engineering problem by Tang, Rui, Fong, Simon, Deb, Suash, Wong, Raymond

“…Recently many researchers invented a wide variety of meta-heuristic optimization algorithms. Most of them achieved remarkable performance results by infusing…”
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Vitality-based elephant search algorithm by Tian, Zhonghuan, Fong, Simon, Deb, Suash, Tang, Rui, Wong, Raymond

“…Elephant search algorithm (ESA) is one of the contemporary meta-heuristic search algorithms recently proposed. The male elephants are responsible for global…”
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Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms by Zhuang, Yan, Yang, X., Deb, Suash, Fong, Simon

“…Traditional K-means clustering algorithms have the drawback of getting stuck at local optima that depend on the random values of initial centroids…”
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Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis by Fong, Simon, Deb, Suash, Wong, Raymond, Sun, Guangmin

“…Sonar signals recognition is an important task in detecting the presence of some significant objects under the sea. In military, sonar signals are used in lieu…”
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