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A Review of Optimal maintenance scheduling of generators using PSO technique

Priyanka B. Pagare, Ganesh G. Mhatre
2016 IJIREEICE  
This paper illustrates use of particle swarm optimization technique for effective and optimal maintenance scheduling of generating units ensuring economical and reliable operation of power system.  ...  This paper proposes a particle swarm optimization algorithm satisfying the system load demand and crew constraints.  ...  CONCLUSION For small scale GMS problems mathematical analysis can be carried out.  ... 
doi:10.17148/ijireeice.2016.4210 fatcat:gci4577ofncuvdsioapxjx4ioq

Optimization and Simulation of Job-Shop Supply Chain Scheduling in Manufacturing Enterprises Based on Particle Swarm Optimization

J. Liao, C. Lin
2019 International Journal of Simulation Modelling  
For effective scheduling of job-shop production, this paper puts forward a scheduling optimization method for job-shop supply chain based on particle swarm optimization (PSO), and proves that the PSO is  ...  feasible and valid to solve production scheduling problems through example analysis.  ...  Improved hybrid particle swarm optimization algorithm At present, most scholars' optimization of particle swarm optimization is about solving the phenomenon of premature convergence of particles in particle  ... 
doi:10.2507/ijsimm18(1)co5 fatcat:fv5f7yuq5ba5hap3a2do5u6444

Research for the Task Scheduling Algorithm Optimization based on Hybrid PSO and ACO for Cloud Computing

JieHui JU, WeiZheng BAO, ZhongYou WANG, Ya WANG, WenJuan LI
2014 International Journal of Grid and Distributed Computing  
First, the algorithm uses particle swarm optimization algorithm to get the initial solution quickly, and then according to this scheduling result the initial pheromone distribution of ant colony algorithm  ...  A task scheduling algorithm based on PSO and ACO for cloud computing is presented in this paper.  ...  And the particle swarm optimization algorithm is mainly suitable for solving continuous optimization problems.  ... 
doi:10.14257/ijgdc.2014.7.5.08 fatcat:cjgfrxesjzajbhvprt2vvl6bny

Economic Optimal Allocation of Mine Water Based on Two-Stage Adaptive Genetic Algorithm and Particle Swarm Optimization

Zihang Zhang, Yang Liu, Lei Bo, Yuangan Yue, Yiying Wang
2022 Sensors  
Then, a hybrid optimization algorithm, GAPSO, was proposed by combining genetic algorithm (GA) and particle swarm optimization (PSO), and adaptive improvement (TSA-GAPSO) was carried out for the two optimization  ...  The results show that the hybrid improved algorithm has better convergence speed and precision in solving the mine water scheduling problem.  ...  Acknowledgments: The authors acknowledge the support by the China National Key R&D Program (grant no. 2018YFC0406404-5), Hebei Provincial Natural Science Foundation Project (E2020402064), and Hebei Innovation  ... 
doi:10.3390/s22030883 pmid:35161630 pmcid:PMC8840607 fatcat:a4lsq7nq6rfm3dcygcyjzaytqe

A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments

Yousef Qawqzeh, Mafawez T. Alharbi, Ayman Jaradat, Khalid Nazim Abdul Sattar
2021 PeerJ Computer Science  
algorithm (FA)) in scheduling and optimization problems.  ...  This review focuses on reviewing the recent publications of swarm intelligence algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee colony (ABC), and the firefly  ...  However, many researchers had emphasized the importance of hybrid swarms in solving multi-objective scheduling and optimization problems.  ... 
doi:10.7717/peerj-cs.696 pmid:34541313 pmcid:PMC8409329 fatcat:fxcfjpiikfellbn6ssoa6xwzqe

A quarter century of particle swarm optimization

Shi Cheng, Hui Lu, Xiujuan Lei, Yuhui Shi
2018 Complex & Intelligent Systems  
With the analysis of different evolution and learning strategies, particle swarm optimization algorithm could be utilized on solving more real-world application problems effectively, and the strength and  ...  The scheduling and data-mining problems are illustrated as two typical cases of PSO algorithm solving real-world application problems.  ...  Test task scheduling problem (TTSP) For TTSP, Lu proposed a hybrid particle swarm optimization and tabu search for single-objective TTSP with constraints [51] .  ... 
doi:10.1007/s40747-018-0071-2 fatcat:rajjkozus5govjy7kgnwix5edm

Parallel Hybrid Particle Swarm Algorithm for Workshop Scheduling Based on Spark

Tianhua Zheng, Jiabin Wang, Yuxiang Cai
2021 Algorithms  
The results show that in the case of relatively large batches, the parallel hybrid particle swarm algorithm can effectively obtain the scheduling plan and avoid falling into the local optimal solution.  ...  In hybrid mixed-flow workshop scheduling, there are problems such as mass production, mass manufacturing, mass assembly and mass synthesis of products.  ...  Conclusions In this paper, a parallel hybrid particle swarm optimization algorithm is proposed for hybrid mixed-flow workshop scheduling problem.  ... 
doi:10.3390/a14090262 fatcat:734pturqzjfhjkhnp42fndebnq

Preface: Swarm Intelligence, Focus on Ant and Particle Swarm Optimization [chapter]

Felix T.S., Manoj Kumar
2007 Swarm Intelligence, Focus on Ant and Particle Swarm Optimization  
The 11 th chapter, "Particle Swarm Optimization-Stochastic Trajectory Analysis and Parameter Selection", proposes to investigate two important topics in Particle Swarm Optimization (PSO) which are trajectory  ...  analysis of particles and parameter selection.  ... 
doi:10.5772/5121 fatcat:s5xxnkpyejbmtff2d6m3owlpma

Comparative Analysis of Metaheuristic Approaches for Makespan Minimization for No Wait Flow Shop Scheduling Problem

Laxmi A. Bewoor, V. Chandra Prakash, Sagar U. Sapkal
2017 International Journal of Electrical and Computer Engineering (IJECE)  
Tabu Search (TS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are implemented for small and large sized problems and effectiveness of these techniques are measured with statistical metric  ...  This paper provides comparative analysis of various metaheuristic approaches for m-machine no wait flow shop scheduling (NWFSS) problem with makespan as an optimality criterion.  ...  Particle Swarm Optimization (PSO) are evaluated for small and large problem size. Comparative Analysis of Metaheuristic Approaches for Makespan Minimization for NWFSS …( Laxmi A.  ... 
doi:10.11591/ijece.v7i1.pp417-423 fatcat:hqnuucsdvfbajmk2253le2obfy

Hybrid Particle Swarm Algorithm for Job Shop Scheduling Problems [chapter]

Xiaoyu Song
2010 Future Manufacturing Systems  
In the hybrid particle swarm optimization, Jerald.J etc. apply GA, SA and PSO algorithm to solve scheduling problems of flexible manufacturing systems.  ...  Then, some important problems are solved when PSO is used for job shop scheduling problems (JSSP), such as hybrid algorithms between particle swarm and other algorithms (HPSO), its deadlock issues, and  ...  /hybrid-particle-swarm-algorithm-for-job-shopscheduling-problems  ... 
doi:10.5772/10246 fatcat:nzbbsfkitbel3mfgyoyuqzmwiu

Performance Analysis of Opposition Based Particle Swarm Optimization with Cauchy Distribution in Minimizing Makespan Time in Job Shop Scheduling

2020 International journal of recent technology and engineering  
This paper aims to analyze four optimization techniques viz, particle swarm optimization (PSO), genetic algorithm (GA), opposition based genetic algorithm(OGA) and opposition based particle swarm optimization  ...  In the contemporary circumstances, manual solving of job shop scheduling problem (JSSP) is quite time consuming and inaccurate.  ...  Convergence graph for LA06, LA07, LA08, LA09 Performance Analysis of Opposition Based Particle Swarm Optimization with Cauchy Distribution in Minimizing Makespan Time in Job Shop Scheduling I (b) Influence  ... 
doi:10.35940/ijrte.d8524.038620 fatcat:dq2oatbku5fifkyislsmp6jreq

Editorial: Special issue on advances in swarm intelligence for neural networks

Ying Tan
2015 Neurocomputing  
Besides the researches on theoretical analysis and algorithms, extensive application researches of SI have also been carried out, in particular, the swarm intelligence for neural networks.  ...  The annual international conference on swarm intelligence (ICSI) (official website: http://www.ic-si.org) eventually becomes one of the most important forums for scientists, engineers, educators, and practitioners  ...  Yongyi Shou, et al. proposed a hybrid particle swarm optimization procedure to solve the preemptive resource-constrained project scheduling problem with various types of particle representations, schedule  ... 
doi:10.1016/j.neucom.2013.10.045 fatcat:qea3n7wdzrbedh7vtrgta2kwie

A Comparative Analysis of Optimization Techniques

Kanika Tyagi, Kirti Tyagi
2015 International Journal of Computer Applications  
This paper presents a comparative analysis of the different test case optimization techniques. There are various optimization techniques available for the context.  ...  Thus various techniques are being used for test case optimization, to select the less indistinguishable test cases while providing the best possible fault coverage.  ...  Van Den Bergh Guaranteed Convergence Particle Swarm Optimization (GCPSO) Convergence to local minimum 2005 Stefan Janson and Martin Midden Dorf Hierarchical Particle Swarm Optimization (HPSO  ... 
doi:10.5120/ijca2015907399 fatcat:75x4dkcve5g5ffykqkl6uewetu

Using Non-dominated Sorting Particle Swarm Optimization Algorithm II for Bi-objective Flow Shop Scheduling Problems

Hanan Ali Chachan, Faez Hassan Ali
2021 Iraqi Journal of Science  
A hybrid particulate swarm optimization (hybrid) combination of an optimization algorithm of the particle swarm and a variable neighborhood search algorithm is proposed for the multi-objective permutation  ...  flow shop scheduling problem (PFSP) with the smallest cumulative completion time and the smallest total flow time.  ...  Hybrid particle swarm optimization algorithm for solving multi-objective replacement flow shop scheduling problem Standard Particle Swarm Optimization (PSO) The optimization algorithm for base particle  ... 
doi:10.24996/ijs.2021.62.1.26 fatcat:trvoduiqerbodajmgtkvrtwyjm

Bioinspired Computation and Its Applications in Operation Management

Tinggui Chen, Jianjun Yang, Kai Huang, Qiang Cheng
2014 The Scientific World Journal  
combination optimization problems, but the latter encounters difficulties.  ...  , project scheduling, human resource management, and revenue management.  ...  Acknowledgments We would like to express our gratitude to all of the authors for their contribution and the reviewers for their effort in  ... 
doi:10.1155/2014/356571 pmid:25025084 pmcid:PMC4082848 fatcat:eewv3jvsifh7zktqxqcogz27h4
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