Suchergebnisse - Multiobjective meta-heuristic algorithm

A nature-inspired meta-heuristic knowledge-based algorithm for solving multiobjective optimization problems von Kapoor, Muskan, Pathak, Bhupendra Kumar, Kumar, Rajiv

“… The multiobjective nature-inspired meta-heuristic knowledge-based (NMHK) algorithm is an advanced version of the gaining-sharing knowledge optimization (GSK …”
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Self-adaptive MRPBIL-DE for 6D robot multiobjective trajectory planning von Bureerat, Sujin, Pholdee, Nantiwat, Radpukdee, Thana, Jaroenapibal, Papot

“… •Efficient self-adaptive multiobjective meta-heuristic (MOMH) algorithm.•Use of success-history based parameter adaptation for optimisation parameters …”
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An Efficient Cuckoo-Inspired Meta-Heuristic Algorithm for Multiobjective Short-Term Hydrothermal Scheduling von Nguyen, Thang Trung, Vo, Dieu Ngoc, Truong, Anh Viet, Ho, Loc Dac

“… This paper proposes an efficient Cuckoo-Inspired Meta-Heuristic Algorithm (CIMHA) for solving multi-objective short-term hydrothermal scheduling …”
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Presenting a Management Model for a Multiobjective Sustainable Supply Chain in the Cellulosic Industry and Its Implementation by the NSGA-II Meta-Heuristic Algorithm von Mehri Charvadeh, Meisam, Pourmousa, Shademan, Tajdini, Ajang, Tamjidi, Abbas, Safdari, Vahidreza

“… Therefore, in this research, a multiobjective, multilevel, multiperiod, and multicommodity mathematical model is presented …”
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Stochastic planning of islanded microgrids with uncertain multi-energy demands and renewable generations von Jithendranath, Jayachandranath, Das, Debapriya

“… Islanded microgrids (IMGs) are embedded power networks with distributed energy resources (DERs) providing a reliable and flexible energy option for off-grid …”
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Multiobjective meta-heuristic with iterative parameter distribution estimation for aeroelastic design of an aircraft wing von Wansasueb, Kittinan, Pholdee, Nantiwat, Panagant, Natee, Bureerat, Sujin

“… This paper proposes a new self-adaptive meta-heuristic (MH) algorithm for multiobjective optimisation …”
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Searching for multiobjective preventive maintenance schedules : Combining preferences with evolutionary algorithms : Evolutionary and meta-heuristic scheduling von GANG QUAN, GREENWOOD, Garrison W, DONGLIN LIU, SHARON HU

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Multiobjective fuzzy dominance based bacterial foraging algorithm to solve economic emission dispatch problem von Panigrahi, B.K., Ravikumar Pandi, V., Das, Sanjoy, Das, Swagatam

“… This paper proposes the bacterial foraging meta-heuristic algorithm for multiobjective optimization …”
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Guided Manta Ray foraging optimization using epsilon dominance for multi-objective optimization in engineering design von Zouache, Djaafar, Abdelaziz, Fouad Ben

“… However, we still need to design robust algorithms capable of converging and approximating efficiently the true Pareto set …”
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Efficient multi-objective meta-heuristic algorithms for energy-aware non-permutation flow-shop scheduling problem von Goli, Alireza, Ala, Ali, Hajiaghaei-Keshteli, Mostafa

“… Contrary to previous works, we first study the energy awareness of non-permutation flow-shop scheduling and lot-sizing using modified novel meta-heuristic algorithms …”
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Sequence optimization for integrated radar and communication systems using meta-heuristic multiobjective methods von Jamil, Momin, Zepernick, Hans-Jurgen, Xin-She Yang

“… In real-world engineering problems, several conflicting objective functions have often to be optimized simultaneously. Typically, the objective functions of …”
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A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold von Lei, Deming, Li, Ming, Wang, Ling

“… These features make it more difficult to solve the problem. In this paper, a two-phase meta-heuristic (TPM …”
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Designing a sustainable bioethanol supply chain network: A combination of machine learning and meta-heuristic algorithms von Momenitabar, Mohsen, Dehdari Ebrahimi, Zhila, Ghasemi, Peiman

“… Bioethanol demands have increased during the last decade due to unexpected events worldwide. It is among the renewable energy sources that are utilized to …”
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Improving Computing Systems Automatic Multiobjective Optimization Through Meta-Optimization von Vintan, Lucian, Chis, Radu, Ismail, Muhammad Ali, Cotofana, Cristian

“… ) tool using a meta-optimization approach, which is used to improve the performance of design space exploration algorithms, by driving two different multiobjective meta-heuristics concurrently …”
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Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey von Tayarani-N., Mohammad-H., Yao, Xin, Xu, Hongming

“… Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds …”
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A hybrid NSGA-II and VNS for solving a bi-objective no-wait flexible flowshop scheduling problem von Asefi, H., Jolai, F., Rabiee, M., Tayebi Araghi, M. E.

“… The proposed meta-heuristic is evaluated based on randomly generated data in comparison with two well-known multiobjective algorithm including NSGA-II and SPEA-II …”
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A bi-objective continuous review inventory control model: Pareto-based meta-heuristic algorithms von Fattahi, Parviz, Hajipour, Vahid, Nobari, Arash

“… •We present several multi-objective Pareto-based optimization algorithms.•The algorithms are compared with best-developed multi-objective algorithms …”
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Meta-heuristic technique for network reconfiguration in distribution system with photovoltaic and D-STATCOM von Ganesh, Selvaraj, Kanimozhi, Rajangam

“… The MO-MFPA is a meta-heuristic technique based on the combination of flower pollination algorithm and cloning selection algorithm …”
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Multiobjective multi-verse optimization algorithm to solve combined economic, heat and power emission dispatch problems von Sundaram, Arunachalam

“… This study implements a potent Multiobjective Multi-Verse Optimization algorithm to solve the highly complicated combined economic emission dispatch and combined heat and power economic emission dispatch problems …”
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Multiobjective Hooke–Jeeves algorithm with a stochastic Newton–Raphson-like step-size method von Altinoz, O. Tolga, Yilmaz, A. Egemen

“… Computational optimization algorithms are focused on the improvement of meta-heuristic algorithms in a way that they can able to handle problems with more than one objective …”
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