Search Results - "Hybrid Optimization Algorithm"

An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems by Pan, Jeng-Shyang, Liu, Nengxian, Chu, Shu-Chuan, Lai, Taotao

“…Surrogate-assisted evolutionary algorithms (SAEAs) are potential approaches to solve computationally expensive optimization problems. The critical idea of…”
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Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology by Cai, Wei, Li, Xing, Maleki, Akbar, Pourfayaz, Fathollah, Rosen, Marc A., Alhuyi Nazari, Mohammad, Bui, Dieu Tien

“…Off-grid solar/diesel systems have been widely utilized in remote and rural settings. Some of the main challenges for solar-diesel energies are determining the…”
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A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems by Zhang, Zichen, Ding, Shifei, Jia, Weikuan

“…Based on Cuckoo Search (CS) and Differential Evolution (DE), a novel hybrid optimization algorithm, called CSDE, is proposed in this paper to solve constrained…”
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Superstructure-based synthesis of extractive distillation sequences considering preconcentration by Hou, Jiale, Dong, Yachao, Zhuang, Yu, Du, Jian

“…[Display omitted] •A novel method is proposed to explore extractive distillation sequences with preconcentration.•Revised superstructure reduces process…”
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Optimizing die profiles using a hybrid optimization algorithm for the precise control of extrudate swell in polymer solutions by Maddah, Alireza, Jafari, Azadeh

“…•Developing a hybrid optimization algorithm for solving 3D inverse problems in polymer extrusion•Combining Nelder-Mead and Bayesian optimization with Gaussian…”
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An optimization planning framework for allocating multiple distributed energy resources and electric vehicle charging stations in distribution networks by Adetunji, Kayode E., Hofsajer, Ivan W., Abu-Mahfouz, Adnan M., Cheng, Ling

“…In developing a sustainable and efficient power systems network while reducing carbon footprint, renewable energy (RE)-based Distribution Generation (DG) units…”
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Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows by Luo, Qizhang, Wu, Guohua, Ji, Bin, Wang, Ling, Suganthan, Ponnuthurai Nagaratnam

“…The collaboration of drones and trucks for last-mile delivery has attracted much attention. In this paper, we address a collaborative routing problem of the…”
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Two-echelon multi-depot multi-period location-routing problem with pickup and delivery by Wang, Yong, Wang, Xiuwen, Wei, Yuanhan, Sun, Yaoyao, Fan, Jianxin, Wang, Haizhong

“…•Study a 2E-MDMPLRPPD with a vehicle sharing strategy.•Propose a bi-objective mathematical model for the 2E-MDMPLRPPD.•Devise a hybrid approach with 3D k-means…”
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Optimized hybrid routing protocol for energy-aware cluster head selection in wireless sensor networks by Roberts, Michaelraj Kingston, Ramasamy, Poonkodi

“…The clustering mechanism in wireless sensor networks (WSNs) is the ideal strategy for constructing an energy efficient protocol for achieving extended network…”
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A new hybrid optimization ensemble learning approach for carbon price forecasting by Sun, Shaolong, Jin, Feng, Li, Hongtao, Li, Yongwu

“…Accurate carbon price forecast plays a vital role in energy conservation, emission reduction and environmental protection. In previous studies, more attention…”
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A novel convolutional neural network framework based solar irradiance prediction method by Dong, Na, Chang, Jian-Fang, Wu, Ai-Guo, Gao, Zhong-Ke

“…•A novel convolutional neural networks has been constructed to predict irradiance.•The chaotic hybrid algorithm is applied to optimize hyperparameters of…”
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A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting by Fu, Wenlong, Wang, Kai, Tan, Jiawen, Zhang, Kai

“…•Adaptive aggregation for decomposed series is achieved by TVF-EMD and FE theory.•SSA is used to extract dominant and residuary ingredients of the aggregated…”
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Knowledge-assisted hybrid optimization strategy of large-scale crude oil scheduling integrated production planning by He, Renchu, Xie, Yunhao, Zhang, Shiwei, Xu, Feng, Long, Jian

“…•Proposed an integrated planning and scheduling optimization model with empirical assistance.•The integrated model is solved using a hybrid MP/PSO algorithm…”
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Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework by Wang, Wanrong, Ma, Yingjie, Maroufmashat, Azadeh, Zhang, Nan, Li, Jie, Xiao, Xin

“…•Four solar steam methane reforming alternatives are investigated.•Machine learning based optimisation framework is proposed to achieve optimal design.•Total…”
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A hybrid optimization algorithm based on fitness landscape analysis for generalized job-shop scheduling problems by Gui, Lin, Li, Xinyu, Gao, Liang, Liu, Qihao

“…•JSP problem domains are formed due to different constraints or optimization objectives.•It is very valuable to design optimization algorithms with…”
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Identification of historical maximum load on concrete beams based on crack and deformation response using knowledge-embedded machine learning algorithms by Xu, Gang, Yue, Qingrui, Liu, Xiaogang

“…This study introduces an innovative method for identifying the historical maximum load on concrete beams, utilizing a multi-layer back propagation (BP) neural…”
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A combination of FA and SRPSO algorithm for Combined Heat and Power Economic Dispatch by Nasir, Mohammad, Sadollah, Ali, Aydilek, İbrahim Berkan, Lashkar Ara, Afshin, Nabavi-Niaki, Seyed Ali

“…This paper represents a hybrid Firefly and Self-Regulating Particle Swarm Optimization (FSRPSO) algorithm to solve optimal Combined Heat and Power Economic…”
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A novel combined model based on hybrid optimization algorithm for electrical load forecasting by Wang, Rui, Wang, Jiyang, Xu, Yunzhen

“…Accurate electrical load forecasting always plays a vital role in power system administration and energy dispatch, which are the foundation of the smooth…”
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Wind turbine power curve modeling using an asymmetric error characteristic-based loss function and a hybrid intelligent optimizer by Zou, Runmin, Yang, Jiaxin, Wang, Yun, Liu, Fang, Essaaidi, Mohamed, Srinivasan, Dipti

“…Wind energy is one of the most promising solutions to energy crisis and environmental pollution, so it is being developed rapidly. Wind turbine power curves…”
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Interactive search algorithm: A new hybrid metaheuristic optimization algorithm by Mortazavi, Ali, Toğan, Vedat, Nuhoğlu, Ayhan

“…In this paper, a new hybrid optimization algorithm, called “Interactive Search Algorithm (ISA)” is proposed for the solution of the optimization problems. This…”
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