Multi-level parallel chaotic Jaya optimization algorithms for solving constrained engineering design problems

Migallón, Héctor; Jimeno-Morenilla, Antonio; Rico, Héctor; Sánchez-Romero, José-Luis; Belazi, Akram

doi:10.1007/s11227-021-03737-0

Cited by 13 publications

(2 citation statements)

References 61 publications

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“…Recently, many researchers have embedded a new mathematical approach named chaos to replace algorithm-parameters in several optimization algorithms such as ABC algorithm [44], Chaotic crow search optimization algorithm [45], PSO [46], Jaya [47][48][49][50], Gravitational Search Algorithm (GSA) [51], and TLBO [2]. The chaos approach has nonrepetition and ergodicity properties, which increase the search behavior's speed and boost the generated solutions' diversity.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Design Method for Optimal Parameters Setting of PSSs and SVC Damping Controllers to Alleviate Power System Stability Problem

et al. 2021

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This paper presents an improved Teaching-Learning-Based Optimization (TLBO) for optimal tuning of power system stabilizers (PSSs) and static VAR compensator (SVC)-based controllers. The original TLBO is characterized by easy implementation and is mainly free of control parameters. Unfortunately, TLBO may suffer from population diversity losses in some cases, leading to local optimum and premature convergence. In this study, three approaches are considered for improving the original TLBO (i) randomness improvement, (ii) three new mutation strategies (iii) hyperchaotic perturbation strategy. In the first approach, all random numbers in the original TLBO are substituted by the hyperchaotic map sequence to boost exploration capability. In the second approach, three mutations are carried out to explore a new promising search space. The obtained solution is further improved in the third strategy by implementing a new perturbation equation. The proposed HTLBO was evaluated with 26 test functions. The obtained results show that HTLBO outperforms the TBLO algorithm and some state-of-the-art algorithms in robustness and accuracy in almost all experiments. Moreover, the efficacy of the proposed HTLBO is justified by involving it in the power system stability problem. The results consist of the Integral of Absolute Error (ITAE) and eigenvalue analysis of electromechanical modes demonstrate the superiority and the potential of the proposed HTLBO based PSSs and SVC controllers over a wide range of operating conditions. Besides, the advantage of the proposed coordination design controllers was confirmed by comparing them to PSSs and SVC tuned individually.

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Section: Literature Reviewmentioning

confidence: 99%

A New Design Method for Optimal Parameters Setting of PSSs and SVC Damping Controllers to Alleviate Power System Stability Problem

et al. 2021

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“…As an important part of the population initialization algorithm, its result directly affects the convergence speed and quality of the algorithm [60,61]. For example, uniform distribution has more complete coverage of solution space than random distribution, and it is easier to obtain good initial solutions.…”

Section: Chaotic Mappingmentioning

confidence: 99%

Harris Hawks Optimization with Multi-Strategy Search and Application

et al. 2021

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The probability of the basic HHO algorithm in choosing different search methods is symmetric: about 0.5 in the interval from 0 to 1. The optimal solution from the previous iteration of the algorithm affects the current solution, the search for prey in a linear way led to a single search result, and the overall number of updates of the optimal position was low. These factors limit Harris Hawks optimization algorithm. For example, an ease of falling into a local optimum and the efficiency of convergence is low. Inspired by the prey hunting behavior of Harris’s hawk, a multi-strategy search Harris Hawks optimization algorithm is proposed, and the least squares support vector machine (LSSVM) optimized by the proposed algorithm was used to model the reactive power output of the synchronous condenser. Firstly, we select the best Gauss chaotic mapping method from seven commonly used chaotic mapping population initialization methods to improve the accuracy. Secondly, the optimal neighborhood perturbation mechanism is introduced to avoid premature maturity of the algorithm. Simultaneously, the adaptive weight and variable spiral search strategy are designed to simulate the prey hunting behavior of Harris hawk to improve the convergence speed of the improved algorithm and enhance the global search ability of the improved algorithm. A numerical experiment is tested with the classical 23 test functions and the CEC2017 test function set. The results show that the proposed algorithm outperforms the Harris Hawks optimization algorithm and other intelligent optimization algorithms in terms of convergence speed, solution accuracy and robustness, and the model of synchronous condenser reactive power output established by the improved algorithm optimized LSSVM has good accuracy and generalization ability.

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A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation

Cpałka

Łapa

Rutkowski

2023

Lecture Notes in Computer Science

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Multi-level parallel chaotic Jaya optimization algorithms for solving constrained engineering design problems

Cited by 13 publications

References 61 publications

A New Design Method for Optimal Parameters Setting of PSSs and SVC Damping Controllers to Alleviate Power System Stability Problem

A New Design Method for Optimal Parameters Setting of PSSs and SVC Damping Controllers to Alleviate Power System Stability Problem

Harris Hawks Optimization with Multi-Strategy Search and Application

A Multi-population-Based Algorithm with Different Ways of Subpopulations Cooperation

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