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  • Search: subject:"Benchmark function"
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Year of publication
Subject
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Algorithm 1 Algorithmus 1 Benchmark Function 1 Benchmark function 1 Benchmark function(s) 1 Benchmarking 1 CEC 2015 1 Chaos 1 Computational-intelligence (CI) 1 Cost prediction 1 Differential search algorithm (DSA) 1 Diversity 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Firefly Algorithm 1 Follow-the-leader algorithm 1 Forecasting model 1 Mass prediction 1 Mathematical programming 1 Mathematische Optimierung 1 Meta-Heuristics 1 Meta-heuristic algorithm 1 Metaheuristic optimization 1 Parameter 1 Prognoseverfahren 1 Randomization 1 Search Performance 1 Step-size parameter 1 Swarm Intelligence 1 Theorie 1 Theory 1
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Online availability
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Undetermined 2 CC license 1 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
Language
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English 3
Author
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Alhalabi, Wadee 1 Alsaadi, Areej Ahmad 1 Dragoi, Elena-Niculina 1 Jin'no, Kenya 1 Kottath, Rahul 1 Kurihara, Takuya 1 Shindo, Takuya 1 Singh, Priyanka 1 Xiao, Jianze 1
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Published in...
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Data Technologies and Applications 1 International Journal of Swarm Intelligence Research (IJSIR) 1
Source
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Other ZBW resources 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
Cover Image
A step-size follow-the-leader optimization algorithm with an improved step parameters
Singh, Priyanka; Kottath, Rahul - 2023
Follow the leader (FTL) algorithm is a newly developed optimization algorithm inspired by a sheep's movement within a flock. FTL has been successfully implemented to solve power prediction problems. However, the probability of falling in local optima is high due to randomness in the step...
Persistent link: https://www.econbiz.de/10014533154
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Cover Image
Performance analysis : Differential search algorithm based on randomization and benchmark functions
Alsaadi, Areej Ahmad; Alhalabi, Wadee; Dragoi, … - In: Data Technologies and Applications 55 (2021) 3, pp. 313-331
Purpose Differential search algorithm (DSA) is a new optimization, meta-heuristic algorithm. It simulates the Brownian-like, random-walk movement of an organism by migrating to a better position. The purpose of this paper is to analyze the performance analysis of DSA into two key parts: six...
Persistent link: https://www.econbiz.de/10014712672
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Cover Image
Analysis of the Dynamical Characteristics of the Firefly Algorithm
Shindo, Takuya; Xiao, Jianze; Kurihara, Takuya; Jin'no, … - In: International Journal of Swarm Intelligence Research (IJSIR) 8 (2017) 4, pp. 18-33
The firefly algorithm is a meta-heuristic algorithm, the fundamental principle of which mimic the characteristics associated with the blinking of natural fireflies. This paper, presents a rigorous analysis of the dynamics of the firefly algorithm, which the authors performed by applying a...
Persistent link: https://www.econbiz.de/10012047853
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