Suchergebnisse - distributed meta-heuristic optimization algorithm

Double-Layer Optimization Mechanism for Multi-Area OPF Considering Valve-Point Loading Effect von Jizhong Zhu, Cong Zeng, Yun Liu, Xuancong Xu

“… In this paper, we constitute a new double-layer optimization mechanism. The proposed distributed meta-heuristic optimization (DMHO …”
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Non-Convex Optimal Power Flow Implementation by Distributed Meta-Heuristic Optimization Algorithm von Zeng, Cong, Zhu, Jizhong

“… Due to the strong generalization ability of meta-heuristic algorithm, a novel distributed meta-heuristic optimization algorithm is proposed in this paper …”
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A Novel Meta-Heuristic Optimization Algorithm to Determine Optimal Access Point and Generation of Distributed Generators for Maximizing Economic and Technical Benefits von Nguyen Cong Chinh

“… This paper presents an intelligent meta-heuristic algorithm, named improved equilibrium optimizer (IEO …”
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Optimization of Resource Allocation for Distributed Energy Consumption Based on a Meta-Heuristic Algorithm von Huang, Zhipeng, Chen, Dongya, Qiu, Yujie, Ying, Kaiwen

“… Therefore, the optimization of distributed energy consumption resource allocation based on meta heuristic algorithm is proposed …”
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A hybrid meta-heuristic scheduler algorithm for optimization of workflow scheduling in cloud heterogeneous computing environment von Reza Noorian Talouki, Mirsaeid Hosseini Shirvani, Motameni, Homayun

“… >The authors proposed a hybrid meta heuristic optimization algorithm.Findings>The authors have made improvement in hybrid approach by exploiting of genetic algorithm and simulated annealing plus points.Originality/value …”
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Quadratic interpolation manta ray foraging optimization: a meta-heuristic approach for simultaneous DG allocation and distribution system reconfiguration von Kamel, Salah, Khasanov, Mansur, Haasan, Mohamed H., Abdubannaev, Jasur, Dominguez-Garcia, José Luis

“… This paper introduces a meta-heuristic algorithm called Quadratic Interpolation Manta Ray Foraging Optimization (QIMRFO …”
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A new meta-heuristic optimizer: Pathfinder algorithm von Yapici, Hamza, Cetinkaya, Nurettin

“… This paper proposes a new meta-heuristic algorithm called Pathfinder Algorithm (PFA) to solve optimization problems with different structure …”
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GMHA: Growable Meta-Heuristic Algorithm for Multi-Objective Optimization Problems and its Application in Cloud Scheduling von Zhou, Guangyao, Xu, Minxian, Zhang, Jiashu, Buyya, Rajkumar

“… ). Meta-heuristic algorithm (MHA) is an effective type of contemporary algorithm for solving difficult MOPs …”
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A new meta-heuristic method: Ray Optimization von Kaveh, A., Khayatazad, M.

“… ► A new meta-heuristic method, so-called Ray Optimization, is introduced. ► This is a multi-agent method having a number of particles as the variables …”
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A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation von Akter, Afifa, Zafir, Ehsanul Islam, Dana, Nazia Hasan, Joysoyal, Rahul, Sarker, Subrata K., Li, Li, Muyeen, S M, Das, Sajal K., Kamwa, Innocent

“… They operate independently as small-scale energy networks using distributed energy resources …”
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A hybrid meta-heuristic algorithm for scientific workflow scheduling in heterogeneous distributed computing systems von Hosseini Shirvani, Mirsaeid

“… This paper presents a hybrid meta-heuristic algorithm to solve parallelizable scientific workflows on elastic cloud platforms since applying a single approach cannot yield optimal solution in such complicated problems …”
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Adaptive robust optimization for the energy management of the grid-connected energy hubs based on hybrid meta-heuristic algorithm von AkbaiZadeh, MohammadReza, Niknam, Taher, Kavousi-Fard, Abdollah

“… This paper describes the energy management of energy hubs connected to electricity, gas, and heating networks in which the hub is incorporated as a coordination framework between distributed …”
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A novel objective function for optimal DG allocation in distribution systems using meta-heuristic algorithms von HassanzadehFard, Hamid, Jalilian, Alireza

“… Meta heuristic algorithms have been introduced as a powerful method to solve the nonlinear optimization problems …”
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A Reinforcement Learning Driven Cooperative Meta-Heuristic Algorithm for Energy-Efficient Distributed No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Time von Zhao, Fuqing, Jiang, Tao, Wang, Ling

“… ) to minimization of makespan and total energy consumption (TEC). A mixed-integer linear programming model of energy-efficient DNWFSP-SDST is constructed and a cooperative meta-heuristic algorithm based on Q-learning (CMAQ …”
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution von Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

“… •A novel meta-heuristic optimization algorithm known as QOMJaya to solve different MOOPF problems is proposed …”
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Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach von Luo, Chuan, Wang, Sizhao, Li, Tianrui, Chen, Hongmei, Lv, Jiancheng, Yi, Zhang

“… By integrating the meta-heuristic-based evolutionary search technique, a novel global search method for numerical feature selection is proposed in this article based on the hybridization of the rough …”
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Multi-objective optimization of hydrocyclones using meta-heuristic algorithms and preference-informed decision-making von Tan, Cong, Hu, Hongwei, Ye, Qing, E, Dianyu, Cui, Jiaxin, Zhou, Zongyan, Kuang, Shibo, Zou, Ruiping, Yu, Aibing

“… This study presents a framework that integrates meta-heuristic algorithms with preference-informed decision-making to simultaneously optimize key performance objectives …”
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A beta salp swarm algorithm meta-heuristic for inverse kinematics and optimization von Rokbani, Nizar, Mirjalili, Seyedali, Slim, Mohamed, Alimi, Adel M.

“… A new inverse kinematics solver is then proposed based on beta distributed Salp Swarm Algorithm called β-SSA …”
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Selecting a Meta-Heuristic Technique for Smart Micro-Grid Optimization Problem: A Comprehensive Analysis von Khan, Baseem, Singh, Pawan

“… To resolve the problem of selecting a suitable optimization technique, a rigorous review of six meta-heuristic algorithms …”
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A parallel and distributed meta-heuristic framework based on partially ordered knowledge sharing von Kim, Jinwoo, Kim, Minyoung, Stehr, Mark-Oliver, Oh, Hyunok, Ha, Soonhoi

“… We propose a new distributed and parallel meta-heuristic framework to address the issues of scalability and robustness in the optimization problem …”
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