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A new method coupling simulation and a hybrid metaheuristic to solve a multiobjective hybrid flowshop scheduling problem

Xiaohui Li, Hicham Chehade, Farouk Yalaoui, Lionel Amodeo
2011 Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011)  
The latter uses a fuzzy logic controller to adjust the crossover and the mutation probabilities, in order to enhance the research ability of the traditional NSGA-II algorithm.  ...  The aim of our work is to optimize the makespan and the total tardiness of the whole production. A simulation based optimization algorithm is proposed here to solve this problem.  ...  In our previous works [31] [32], we have developed FLC-NSGA-II and FLC-SPEA-II algorithms to solve a multiobjective parallel machines scheduling problem.  ... 
doi:10.2991/eusflat.2011.33 dblp:conf/eusflat/LiCYA11 fatcat:7okdhnvlxbgy7m6w2lkmoz2lza

A review on genetic algorithm: past, present, and future

Sourabh Katoch, Sumit Singh Chauhan, Vijay Kumar
2020 Multimedia tools and applications  
This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons.  ...  [79] used MS-PGA for solving data mining problems. Fuzzy rules are used with parallel GA. The evaluation of fitness function was performed on slave machines.  ...  They used thirty processors to solve this problem at National University of Singapore. Yang et al. [213] developed a web-based parallel GA.  ... 
doi:10.1007/s11042-020-10139-6 pmid:33162782 pmcid:PMC7599983 fatcat:bg6phhszfzfbrjwazncc5p34bi

Multiobjective Hybrid Genetic Algorithms for Manufacturing Scheduling: Part II Case Studies of HDD and TFT-LCD [chapter]

Mitsuo Gen, Wenqiang Zhang, Lin Lin
2015 Advances in Intelligent Systems and Computing  
This paper introduces how to design Mo-HGAs for solving the practical multiobjective manufacturing scheduling problems expanded by a multiobjective flexible job-shop scheduling problem (Mo-FJSP; operation  ...  In this paper, we introduce how to design hybrid genetic algorithms (HGA) and multiobjective hybrid genetic algorithms (Mo-HGA) for solving practical manufacturing scheduling problems for the hard disc  ...  fuzzy logic controller (HGA.FLC).  ... 
doi:10.1007/978-3-662-47241-5_2 fatcat:cta4yo5jwfdgnm63iuynxe6d2u

Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA

Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha
2014 The Scientific World Journal  
A new multiobjective dynamic fuzzy genetic algorithm is applied to solve a fuzzy mixed-model assembly line sequencing problem in which the primary goals are to minimize the total make-span and minimize  ...  Verification and validation of the dynamic fuzzy GA are carried out by developing test-beds and testing using a multiobjective fuzzy mixed production assembly line sequencing optimization problem.  ...  Acknowledgment The authors would like to acknowledge the Malaysian Ministry of Higher Education (MOHE) for their financial support under High Impact Research Grant (no.  ... 
doi:10.1155/2014/505207 pmid:24982962 pmcid:PMC3985312 fatcat:fmkyfvmgjfeyrg264slvy3v3si

Mathematical Tools of Soft Computing 2014

Ker-Wei Yu, Yang Xu, Jer-Guang Hsieh
2015 Mathematical Problems in Engineering  
., a discrete bacterial colony chemotaxis algorithm is proposed to solve multiobjective optimization problems.  ...  ., the authors propose an expert performance evaluation system based on a fuzzy logic model, with competences 360 ∘ feedback oriented to human behavior.  ...  Acknowledgments We wish to express our sincere appreciation to the authors for their excellent contributions. The hard work of all reviewers is greatly acknowledged.  ... 
doi:10.1155/2015/234176 fatcat:wswu5kwc35d3xedlkbtycstrum

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

Mahima Dubey, Vijay Kumar, Manjit Kaur, Thanh-Phong Dao, Hassène Gritli
2021 Mathematical Problems in Engineering  
It has been used to solve the wide variety of real-life optimization problems due to its easy implementation over other metaheuristics.  ...  Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the behavior of a musician producing a perfect harmony.  ...  Multiobjective HSA. ere are two approaches to solve the multiobjective problems. ese are weighted sum approach and Pareto-optimal front approaches. e former one tries to solve the multiobjective problem  ... 
doi:10.1155/2021/5594267 fatcat:dtpsvroglrf55mhgf4dypzbtki

Development of Multiobjective High-Level Synthesis for FPGAs

Darian Reyes Fernandez de Bulnes, Yazmin Maldonado, Leonardo Trujillo
2020 Scientific Programming  
During the last two decades, several MOAs have been applied to solve this problem. This paper introduces a comprehensive analysis of different MOAs that are suitable to perform HLS for FPGA devices.  ...  This process can be performed under a framework that is known as Design Space Exploration (DSE), which helps to determine the best design by addressing scheduling, allocation, and binding problems, all  ...  Special thanks are due to Rogelio Valdez PhD student. We also thank Dr. Daniel E.  ... 
doi:10.1155/2020/7095048 fatcat:h3iow4op4ventnhcpvazze3p4e

A new multiobjective evolutionary algorithm

Ruhul Sarker, Ko-Hsin Liang, Charles Newton
2002 European Journal of Operational Research  
ALSO D De, S Ray, A Konar, A Chatterjee (2005) A Fuzzy Logic Controller Based Dynamic Routing Algorithm with SPDE based Differential Evolution, GECCO 119.  ...  S Agrawal, Y Dashora, MK Tiwari, YJ Son (2008) Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems  ... 
doi:10.1016/s0377-2217(01)00190-4 fatcat:kndbzvq6jrgnromsrtx2jc6mji

Sustainable Aviation Electrification: A Comprehensive Review of Electric Propulsion System Architectures, Energy Management, and Control

Jinning Zhang, Ioannis Roumeliotis, Argyrios Zolotas
2022 Sustainability  
Then, the challenges and technical barriers of electrified aircraft propulsion control system design are discussed, followed by a summary of the control methods frequently used in aircraft propulsion systems  ...  This review paper aims to provide a comprehensive and broad-scope survey of the recent progress and development trends in sustainable aviation electrification.  ...  A fuzzy state machine (FSM)-based EMS has been proposed to control the power flow for a hybrid electric UAV for online application [117] .  ... 
doi:10.3390/su14105880 fatcat:3ympviy5k5faplzoi5qgwuz5bu

Bi-objective unrelated parallel machines scheduling problem with worker allocation and sequence dependent setup times considering machine eligibility and precedence constraints

Reza Alizadeh Foroutan, Javad Rezaeian, Milad Shafipour
2021 Journal of Industrial and Management Optimization  
In this study, a bi-objective unrelated parallel machine scheduling problem with worker allocation, sequence dependent setup times, precedence constraints, and machine eligibility is presented.  ...  Because the problem is NP-hard, two metaheuristic algorithms, a multi-objective tabu search (MOTS) and a multi-objective simulated annealing (MOSA), are presented to tackle the problem.  ...  A multi-objective parallel machine scheduling problem under fully fuzzy environment was investigated by Arık and Toksarı, in which fuzzy job deterioration effect, fuzzy learning effect and fuzzy processing  ... 
doi:10.3934/jimo.2021190 fatcat:et5rw3rd5fhwjan35qeqafzfuu

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
2015 Mathematical Problems in Engineering  
optimization), extensions (to multiobjective, constrained, discrete, and binary optimization), theoretical analysis (parameter selection and tuning, and convergence analysis), and parallel implementation  ...  On the other hand, we offered a survey on applications of PSO to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research  ...  coming from a fuzzy logic controller.  ... 
doi:10.1155/2015/931256 fatcat:ubc5eywnhzdjllxjaywe4czhnm

A New Imperialist Competitive Algorithm for Multiobjective Low Carbon Parallel Machines Scheduling

Zixiao Pan, Deming Lei, Qingyong Zhang
2018 Mathematical Problems in Engineering  
This paper considers low carbon parallel machines scheduling problem (PMSP), in which total tardiness is regarded as key objective and total energy consumption is a non-key one.  ...  A lexicographical method is used to compare solutions and a novel imperialist competitive algorithm (ICA) is presented, in which a new strategy for initial empires is adopted.  ...  However, as stated above, ICA is not used to solve the problem of low carbon parallel machine scheduling.  ... 
doi:10.1155/2018/5914360 fatcat:ekyjm6vchnaqldofmfn7ru6k3m

A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs

Khodakaram Salimifard, Jingpeng Li, Davood Mohammadi, Reza Moghdani
2020 Applied intelligence (Boston)  
This paper proposes a mathematical model for scheduling parallel machines with splitting jobs and resource constraints.  ...  AbstractParallel machine scheduling is one of the most common studied problems in recent years, however, this classic optimization problem has to achieve two conflicting objectives, i.e. minimizing the  ...  Chen [15] developed a column generation based branch and bound method to solve simultaneous job scheduling and resource allocation problems.  ... 
doi:10.1007/s10489-020-02027-1 fatcat:5ptss32qkbetzich5j6cw7gu4m

Meta-heuristics for manufacturing scheduling and logistics problems

Ching-Jong Liao, Mitsuo Gen, Manoj Kumar Tiwari, Pei-Chann Chang
2013 International Journal of Production Economics  
In addition, the authors employed an extended priority-based encoding method, combining a local search (LS) technique and a new fuzzy logic control (FLC) to enhance the search ability of the hybrid evolutionary  ...  Chen et al. (2013) proposed a hybrid approach based on the variable neighborhood search and particle swarm optimization for parallel machine scheduling problems.  ... 
doi:10.1016/j.ijpe.2012.09.004 fatcat:ri2ogbsa6rbqpi2s3vnkenhhz4

Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

Laura Calvet, Jésica de Armas, David Masip, Angel A. Juan
2017 Open Mathematics  
Learnheuristics can be used to solve combinatorial optimization problems with dynamic inputs (COPDIs).  ...  On the contrary, they might vary in a predictable (non-random) way as the solution is partially built according to some heuristic-based iterative process.  ...  Likewise, we want to thank the support of the UOC doctoral programme.  ... 
doi:10.1515/math-2017-0029 fatcat:ktigbziemvel3a5mpxjfz6dsra
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