A new meta-heuristic optimizer: Pathfinder algorithm

Yapıcı, Hamza; Çetinkaya, Nurettin

doi:10.1016/j.asoc.2019.03.012

Cited by 279 publications

(110 citation statements)

References 81 publications

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“…In order to compare the performance of HPFA, PFA [12], differential evolution (DE) [13], canonical PSO with constriction factor (PSO) [23], and cooperative PSO (CPSO) [24] were employed for comparison. PSO is a classical population-based paradigm simulating the foraging behavior of social animals.…”

Section: Comparison With Other Algorithmsmentioning

confidence: 99%

“…n denotes the size of the dataset. Each data Decode X i to w cluster centers following equation (12) Calculate Euclidean distance between all data objects and clustering centers following equation (10) Distribute the data to the nearest clustering center Calculate the total within-cluster variance following equation 9Return fitness ALGORITHM 2: Pseudocode of fitness calculation. Computing…”

Section: Application To Data Clusteringmentioning

confidence: 99%

“…In HPFA for clustering, each individual denotes a set of cluster centers according to equation (11). According to equation (12), each artificial butterfly can be decoded to a cluster center:…”

Section: E Hpfa Algorithm For Data Clusteringmentioning

confidence: 99%

“…Pathfinder algorithm (PFA) is a relatively new metaheuristic algorithm inspired by the collective movement of animal group and mimics the leadership hierarchy of swarms to find best food area or prey [12]. PFA provides superior performance in some optimization problems.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems

Yuan

Song

2020

Computational Intelligence and Neuroscience

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Hybridization of metaheuristic algorithms with local search has been investigated in many studies. This paper proposes a hybrid pathfinder algorithm (HPFA), which incorporates the mutation operator in differential evolution (DE) into the pathfinder algorithm (PFA). The proposed algorithm combines the searching ability of both PFA and DE. With a test on a set of twenty-four unconstrained benchmark functions including both unimodal continuous functions, multimodal continuous functions, and composition functions, HPFA is proved to have significant improvement over the pathfinder algorithm and the other comparison algorithms. Then HPFA is used for data clustering, constrained problems, and engineering design problems. The experimental results show that the proposed HPFA got better results than the other comparison algorithms and is a competitive approach for solving partitioning clustering, constrained problems, and engineering design problems.

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Section: Comparison With Other Algorithmsmentioning

confidence: 99%

Section: Application To Data Clusteringmentioning

confidence: 99%

Section: E Hpfa Algorithm For Data Clusteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems

Yuan

Song

2020

Computational Intelligence and Neuroscience

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“…Nazari-Heris et al [26], Zhao et al [27], Sameer et al [28], Reddy et al [29], Stützle et al [30], Pijarski and Piotr [31], Yapici and Cetinkaya [32], Dede et al [33], Grzywiński et al [34], Kaveh et al [35], Kaveh et al [36] and Kaveh and Ilchi Ghazaan [37]. Following a description of the EVPS algorithm with a brief description of six other metaheuristic algorithms including VPS, GWO, HS, SSA, ECBO and GOA algorithms, is presented in the following subsections.…”

Section: Optimization Algorithmsmentioning

confidence: 99%

Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm

Kaveh¹,

Vaez²,

Hosseini³

et al. 2019

Period. Polytech. Civil Eng.

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The paper presents an optimal design of steel curved roof frames with its roof being part of a circular arc. The elements of frames are tapered I-section members. In the objective function for optimization, two factors affecting the weight of frames are considered simultaneously. First, the roof slope angle as an effective variable on the values of the structural loading and second, the cross-section of members that are considered as continuous and discrete variables, respectively. In the range of 3 to 70 degrees, the optimum range of roof slope angles for steel curved roof frames, as well as precise value of the best roof slope angle, will be reported. Enhanced Vibrating Particles System (EVPS) algorithm is utilized for the optimal design of steel curved roof frames with tapered members. The performance and efficiency of the EVPS algorithm is compared with six other recently developed optimization algorithms including VPS, GWO, HS, SSA, ECBO and GOA algorithms. The effectiveness and performance of EVPS algorithm is proven. Frames design are performed using ANSI/AISC 360-05 speciﬁcations which strength, displacement and stability constraints are imposed on the frames.

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Optimal location and operation of battery energy storage system in the distribution system for reducing energy cost in 24‐hour period

Ton

Nguyen

Truong

et al. 2021

Int Trans Electr Energ Syst

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Summary This article presents the problem of optimizing position and operating power of battery energy storage system (BESS) in the distribution system for the 24‐hour period. Wherein, the surveyed period is divided into small periods of peak, standard, and off‐peak hours. The goal is to find the optimal node for installation of BESS and its power in each interval to reduce the electricity purchasing cost and the cost of energy loss. The cuckoo search algorithm (CSA) is mapped to find the optimal parameters of BESS, and its efficiency is compared with that of genetic algorithm, sunflower optimization, and pathfinder algorithm. The efficiency of the proposed problem has been evaluated on two test systems. The obtained results show that the proposed problem and method have ability to reduce energy cost as well as contribute to reduce peak loads during peak hours in the 24‐hour period. The results also show that CSA is an effective tool for the problem of optimization position and power of BESS.

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A new meta-heuristic optimizer: Pathfinder algorithm

Cited by 279 publications

References 81 publications

A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems

A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems

Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm

Optimal location and operation of battery energy storage system in the distribution system for reducing energy cost in 24‐hour period

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