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A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 139-151 doi: 10.1007/s11708-017-0484-4

Abstract: In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic(PV)-wind-battery hybrid system using a novel energy filter algorithm.The main objective of this paper is to minimize the total cost of the hybrid system, while maintainingand the battery’s state of charge (SOC), have also been considered for the effective sizing of the hybridA novel energy filter algorithm for smoothing the power injected into the grid has been proposed.

Keywords： PV-wind-battery hybrid system     size optimization     genetic algorithm    

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Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 472-480 doi: 10.1007/s11709-016-0368-4

Abstract: In this article, multi-objective optimization of braced frames is investigated using a novel hybrid algorithmInitially, the applied evolutionary algorithms, ant colony optimization (ACO) and genetic algorithm (GA) are reviewed, followed by developing the hybrid method.The hybrid algorithm explores the whole design space for optimum solutions.genetic ant colony algorithm (HGAC) is developed for optimal design.

Keywords： multi-objective     hybrid algorithm     ant colony     genetic algorithm     displacement     weighted sum method     steel    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: In this study, we developed a novel hybrid artificial intelligence model, i.e., a genetic algorithm (

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 490-503 doi: 10.1007/s11708-014-0311-0

Abstract: is formulated into a bi-objective optimization problem, two objectives with two algorithms, firefly algorithmfor optimization the fuel cost, pollutant emissions and the real genetic algorithm for minimizationIn this paper the new approach (firefly algorithm-real genetic algorithm, FFA-RGA) has been applied to

Keywords： economic power dispatch (EPD)     firefly algorithm (FFA)     real genetic algorithm (RGA)     hybrid method    

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A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects

T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 155-163 doi: 10.1007/s11708-012-0189-7

Abstract: particle swarm optimization (PSO) to the chemotaxis, swarming and reproduction steps of bacterial foraging algorithmThis results in the hybrid bacterial foraging algorithm (HBFA).

Keywords： bacterial foraging algorithm (BFA)     economic dispatch (ED)     particle swarm optimization (PSO)     valve-point    

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Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 426-446 doi: 10.1007/s42524-020-0100-x

Abstract: We developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution methodResults showed that hybrid-NSGA-II surpassed NSGA-II in terms of the performance metrics hypervolume,Solutions were obtained for the objective pairs using hybrid-NSGA-II and three different test problem

Keywords： backward–forward scheduling     hybrid bi-objective genetic algorithm     injection procedure     maximum cash balance    

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Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 131-148 doi: 10.1007/s11708-017-0446-x

Abstract: In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine isIn order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) methodThe average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentageDetailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid

Keywords： photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

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Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: Finite Element Method (FEM) and Artificial Neural Network (ANN) combined with Butterfly Optimization AlgorithmThis paper improves ANN training after introducing BOA as a hybrid model (BOA-ANN).

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 94-98

Abstract: The particle swarm optimization algorithm combining with the idea of the genetic algorithm is recommendedAll the 6 hybrid particle swarm optimization algorithms are proved effective.Especially the hybrid particle swarm optimization algorithm derived from across strategy A and mutationstrategy C is a simple yet effective algorithm and it has been applied successfully to investment problemIt can easily be modified for any combinatorial problem for which there has been no good specialized algorithm

Keywords： particle swarm algorithm     knapsack problem     genetic algorithm     mutation    

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Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm

Trina SOM, Niladri CHAKRABORTY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 12-20 doi: 10.1007/s11708-012-0172-3

Abstract: The mathematical analysis is based on the application of tuned genetic algorithm (TGA).

Keywords： distributed energy resources (DERs)     microgrid     tuned genetic algorithm (TGA)    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term    

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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network

Xuewei QI,Ke LI,Walter D. POTTER

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 341-351 doi: 10.1007/s11783-015-0776-z

Abstract: Particle swarm optimization (PSO) has been shown to be a fast converging algorithm for WDN optimizationAn improved estimation of distribution algorithm (EDA) using historic best positions to construct a samplenetwork benchmark examples from the literature are adopted to evaluate the performance of the proposed hybridFor the large size Balerma network, the parallel hybrid achieved a slightly lower minimum (1.921M?)With a fixed, small number of evaluations, the sequential hybrid outperforms the parallel hybrid showing

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     waterdistribution network (WDN)     premature convergence     hybrid strategy    

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Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 305-314 doi: 10.1007/s11708-014-0308-8

Abstract: In this paper, a hybrid optimization algorithm is proposed for modeling and managing the micro grid (units are needed to describe the operating cost of the output power generated, the objective of the hybridHere, the hybrid algorithm is obtained as artificial bee colony (ABC) algorithm, which is used in two

Keywords： micro grid (MG)     multi-objective function     artificial bee colony (ABC)     fuel cost     operation and maintenance cost    

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Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: multi-objective optimization model is established for the investment plan and operation management of a hybridTo solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employedbuilding is selected for study to verify the effectiveness of the optimization model and the solving algorithm

Keywords： multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithm    

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optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II hybrid

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 319-332 doi: 10.1007/s11465-013-0269-3

Abstract:

The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization hasThe combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-IIIn this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond FaceGrinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybridIt has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting

Keywords： hybrid machining processes (HMPs)     electrical discharge diamond grinding (EDDG)     artificial neural network(ANN)     genetic algorithm     modeling and optimization    

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Title Author Date Type Operation

A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Journal Article

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Journal Article

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects

T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh

Journal Article

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Journal Article

Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm

Trina SOM, Niladri CHAKRABORTY

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II hybrid

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Journal Article