Path Selection for the Inspection Robot by m-Generalized q-Neutrosophic PROMETHEE Approach

Baušys, Romualdas; Zavadskas, Edmundas Kazimieras; Semėnas, Rokas

doi:10.3390/en15010223

Cited by 9 publications

(7 citation statements)

References 39 publications

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“…In 1988, the multiple criteria compromise and optimization solution (VIKOR) method appears, seeking multi-criteria optimization by classifying a set of alternatives against several conflicts [48,49]. Later, in 2005, the preference ranking organization method for evaluation enrichment (PROMETHEE) appeared, which calculates the dominant flows of alternatives [50,51]. Meanwhile, in 2006, the multi-objective optimization method based on ratio analysis (MOORA) appeared, which evaluates the ranking of each alternative based on ratio analysis [52,53].…”

Section: Multi-criteria Methodsmentioning

confidence: 99%

PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review

et al. 2022

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Companies are constantly changing in their organization and the way they treat information. In this sense, relevant data analysis processes arise for decision makers. Similarly, to perform decision-making analyses, multi-criteria and metaheuristic methods represent a key tool for such analyses. These analysis methods solve symmetric and asymmetric problems with multiple criteria. In such a way, the symmetry transforms the decision space and reduces the search time. Therefore, the objective of this research is to provide a classification of the applications of multi-criteria and metaheuristic methods. Furthermore, due to the large number of existing methods, the article focuses on the particle swarm algorithm (PSO) and its different extensions. This work is novel since the review of the literature incorporates scientific articles, patents, and copyright registrations with applications of the PSO method. To mention some examples of the most relevant applications of the PSO method; route planning for autonomous vehicles, the optimal application of insulin for a type 1 diabetic patient, robotic harvesting of agricultural products, hybridization with multi-criteria methods, among others. Finally, the contribution of this article is to propose that the PSO method involves the following steps: (a) initialization, (b) update of the local optimal position, and (c) obtaining the best global optimal position. Therefore, this work contributes to researchers not only becoming familiar with the steps, but also being able to implement it quickly. These improvements open new horizons for future lines of research.

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Section: Multi-criteria Methodsmentioning

confidence: 99%

PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review

et al. 2022

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“…The truth-membership degree and falsitymembership degree add up to one, while the indeterminacy degree can take any value between 0 and 1. Pythagorean neutrosophic sets have been used in decision making problems that involve uncertain and inconsistent information, and they have shown promising results in handling such situations [2]. Neutrosophic sets were added to the algorithm, as they increase nondeterminism of the criteria evaluation.…”

Section: Player-exit Path Exists (C3) Booleanmentioning

confidence: 99%

Gestalt Principles Governed Fitness Function for Genetic Pythagorean Neutrosophic WASPAS Game Scene Generation

Petrovas

Baušys

Zavadskas

2023

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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The maintenance of visual appeal and coherence in the procedural game scene generation is still a difficult problem. Traditional procedural game scene generation algorithms produce samples that show a noticeable resemblance to each other. The proposed algorithm allows us to add diverse game object compositions and increase creativity value in that way. Result diversity is formed by the proposed genetic algorithm modification and MCDM method based on the fitness function. Video game immersion is reached by aesthetic game element pattern composition, and one of the solutions for this issue is to apply automated aesthetic modelling of the generated game levels. In this research, the construction of fitness function was extended by the modelling of aesthetic principles, which were reverse-engineered from Gestalt principles. All rules were implemented by construction of a focal function with a square zone for each matrix cell of the single game scene. Five types of Gestalt rules were modelled and combined into a Pythagorean neutrosophic WASPAS method and the final score calculation algorithm was proposed. The proposed approach to generating game scenes strikes a balance between functionality and aesthetics to provide players with an engaging and immersive gaming experience.

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“…Different equipment is assembled according to the functional objectives of the substation. e equipment is arranged in turn according to the functions, and the wiring between the equipment is safe and beautiful [11]. e building structure of the substation is reasonable, and the appearance is neat.…”

Section: Comprehensive Design Concept Of Substation Inspectionmentioning

confidence: 99%

Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot

Kang

Wang

2022

Mathematical Problems in Engineering

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The purpose is to improve the effect of substation inspection and ensure the safety of power consumption in human society. First, this work discusses the current substation inspection-oriented robot path planning situation. Then, the proportional integration differentiation (PID) control algorithm is introduced and optimized. Ant colony algorithm (ACA) is improved. The substation inspection-oriented RPP model is designed based on the PID algorithm and optimized ACA (the proposed model is denoted as the Ant-PID algorithm). Afterward, the Ant-PID algorithm is compared with the PID control algorithm and ACA. The results show that the longest robot path of the proposed Ant-PID algorithm in different data sets is about 28 m. The shortest is about 26 m, and the number of optimal solutions is maintained at about 45–49. By comparison, the average response time of the PID algorithm is about 25 s to 28 s. The shortest response time of ACA is about 24 s, the shortest average response time is about 27 s, and the longest is about 30 s. The average response time of the proposed ant PID model is about 17 s to 20 s. Therefore, the Ant-PID algorithm can improve the substation inspection robots’ path planning effect. The research results provide technical support for improving the effect of substation inspection and contribute to social power transmission.

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Path Selection for the Inspection Robot by m-Generalized q-Neutrosophic PROMETHEE Approach

Cited by 9 publications

References 39 publications

PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review

PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review

Gestalt Principles Governed Fitness Function for Genetic Pythagorean Neutrosophic WASPAS Game Scene Generation

Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot

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