A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems

In this paper, a novel evolutionary-based method, called Average and Subtraction-Based Optimizer (ASBO), is presented to attain suitable quasi-optimal solutions for various optimization problems. The core idea in the design of the ASBO is to use the average information and the subtraction of the bes...

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Veröffentlicht in:	PeerJ. Computer science Jg. 8; S. e910
Hauptverfasser:	Dehghani, Mohammad, Hubálovský, Štěpán, Trojovský, Pavel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 07.03.2022 PeerJ, Inc PeerJ Inc
Schlagworte:	Algorithm of best and worst members of the population Algorithms Algorithms and Analysis of Algorithms Analysis Birth rate Design Evolution & development Exploitation Genetic algorithms Heuristic methods Linear programming Mathematical optimization Mathematical programming Optimization Optimization algorithm Optimization algorithms Optimization problem Optimization Theory and Computation Performance evaluation Pheromones Population Problem solving Simulation Subtraction Teaching Optimization algorithm Algorithm of best and worst members of the population Optimization Optimization problem
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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