State-of-the-Art Reviews of Meta-Heuristic Algorithms with Their Novel Proposal for Unconstrained Optimization and Applications

Parouha, Raghav Prasad; Verma, Pooja

doi:10.1007/s11831-021-09532-7

Cited by 27 publications

(14 citation statements)

References 122 publications

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“…A survey has been done over the evolution of various kinds of algorithms for the presented research work. These algorithms are inspired from natural phenomenon and their social behaviors which helps in finding the optimized values for any given problem [43]- [71].…”

Section: Related Backgroundmentioning

confidence: 99%

“…Later on, Parouha, R.P. and Verma, P. [43] also discussed various optimization techniques in the paper State-ofthe-Art Reviews of Meta-Heuristic Algorithms with Their Novel Proposal for Unconstrained Optimization and Applications. This paper is not only about GA and PSO but the comparison amongst different types of algorithms also done such that Meta-heuristic, aroused from the actions of societal creatures or animals, aroused from ecology, aroused by the laws leading a natural phenomenon, aroused from the human being.…”

Section: Introductionmentioning

confidence: 99%

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Intuitionistic Neuro-Fuzzy Optimization in the Management of Medical Diagnosis

Nivedita¹,

Agrawal²,

Singh³

et al. 2021

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Section: Related Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intuitionistic Neuro-Fuzzy Optimization in the Management of Medical Diagnosis

Nivedita¹,

Agrawal²,

Singh³

et al. 2021

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“…The complexity involved in solving real-time engineering problems with multiple objectives formulated with various simultaneous linear and non-linear constraints, equal and unequal constraints, and continuous and discrete variables can be easily overcome by meta-heuristics. They are free from derivatives and easy to adapt with minimum control variables [22]. However, metaheuristics suffer from the generation of a random population in the optimization process, which can lead to poor exploration and/or exploitation characteristics and further result in a local minima trap.…”

Section: Introductionmentioning

confidence: 99%

Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm

2023

IJIES

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Most electrical distribution systems (EDS) are radially structured so that primary and secondary protection control devices can work together well. Because they have a high R/X ratio in their design, they also have a bad voltage profile, high distribution losses, and less stability margins. As a result, integrating reactive power compensation devices like the distribution-static VAr compensator (D-SVC) can solve these issues. Yet, the situation can get worse if D-SVCs are placed and rated incorrectly in radial distribution networks (RDNs). Determining the optimum locations and their ratings simultaneously requires an updated version of the Firefly algorithm (FA) with adaptive parameters, which is introduced in this paper as the adaptive firefly algorithm (AFA). The multi-objective function that has been presented relates to improving loadability, voltage stability, and reducing active power loss. On the IEEE 69-bus, simulations are run for three different VAr compensation levels. In comparison to the base case, the losses are reduced by 34.04% and 33.14% with 50% and 75% VAr compensation, respectively. But for the optimal VAr compensation of 73.14 percent by AFA, the losses are reduced by 35.29 percent, which is higher than both under and over compensation cases. Similarly, the loadability margin is increased to 3.099 p.u. with optimal VAr compensation, but it is observed as only 2.833 p.u. and 2.939 p.u. with 50% and 75% VAr compensation, respectively. On the other hand, the findings produced with APF demonstrate its efficiency for resolving complex optimization issues and outperform those obtained with previous research. Also, the proposed D-SVCs allocation has improved RDN's overall performance, demonstrating how well it adapts to real-time applications.

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“…The developed methods are distinguished by their specificity, the algorithm of the operating procedure, the approach to data collection and the scope of these data, the way of presenting and interpreting the results, and a number of other features. In the procedure algorithms [15], product quality assessments are usually preceded by a detailed selection and list of features and the definition of feature assessment methods, taking into account the appropriate measurement scale. In practice, this scale may have a different scope and structure, not only for the range of the continuous variable but also the step variables.…”

Section: Introductionmentioning

confidence: 99%

Supporting Decision-Making in the Technical Equipment Selection Process by the Method of Contradictory Evaluations

Gaworski

Borowski

Kozioł³

2022

Sustainability

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Creating new research concepts is an important element in supporting the development of production systems and their components, including technical equipment. Many technical devices are characterized by a high degree of complexity, which justifies the need for a specific approach to their assessment and becomes an inspiration to search for innovative methods of assessment. As part of the proposed new approach to the assessment of technical objects, studies were carried out in which users of chainsaws assessed their technical and functional features, taking into account the options: advantage and disadvantage. The number of positive and negative assessments of a given feature was used in the developed methodology to calculate the utility potential index. The proposed formula for calculating the utility potential index is a contribution to the current state of knowledge in the field of evaluation of technical objects and their features, as well as comparisons between technical objects. Based on the definition of the utility potential index, its value ranges from 0.0 to 1.0. The conducted research and calculation results indicated the accumulation of the lowest and the highest values of the utility potential index for one of the functional features, i.e., the price of the equipment. The utilitarian effect of the study is the creation of a tool supporting the selection of equipment for the needs of its users. The research results can also be used as a suggestion for the improvement of the indicated features of technical devices by their manufacturers.

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State-of-the-Art Reviews of Meta-Heuristic Algorithms with Their Novel Proposal for Unconstrained Optimization and Applications

Cited by 27 publications

References 122 publications

Intuitionistic Neuro-Fuzzy Optimization in the Management of Medical Diagnosis

Intuitionistic Neuro-Fuzzy Optimization in the Management of Medical Diagnosis

Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm

Supporting Decision-Making in the Technical Equipment Selection Process by the Method of Contradictory Evaluations

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