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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: problems with valve-point effects, by integrating the biased velocity of particle swarm optimization (PSO) to the chemotaxis, swarming and reproduction steps of bacterial foraging algorithm (BFA).This 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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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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Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis Article

Lin CAO, Shuo TANG, Dong ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 882-897 doi: 10.1631/FITEE.1601363

Abstract: Particularly, to maximize system robustness, a novel hybrid particle swarm optimization algorithm isDuring the search iteration, a Chernoff bound algorithm is applied to determine the finite sample sizeFinally, simulation results show that the optimization algorithm can effectively find the optimal solution

Keywords： AHVs)     Stochastic robustness analysis     Linear-quadratic regulator (LQR)     Particle swarm optimization (PSO)     Improved hybrid PSO algorithm    

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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 samplespace is hybridized with PSO both in sequential and in parallel to improve population diversity controlFor 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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Innovative hybrid reinforcement constituting conventional longitudinal steel and FRP stirrups for improved

Mostafa FAKHARIFAR,Ahmad DALVAND,Mohammad K. SHARBATDAR,Genda CHEN,Lesley SNEED

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1,   Pages 44-62 doi: 10.1007/s11709-015-0295-9

Abstract: The current research has proposed a novel economical hybrid reinforcement scheme for the next generationThe hybrid reinforcement consists of conventional longitudinal steel reinforcement and FRP stirrups.The key feature of the proposed hybrid reinforcement is the enhanced strength and ductility owing toThe proposed hybrid reinforcement, when compared with conventional steel stirrups, is found to have higherDesign methods, structural behavior, and applicability of the proposed hybrid reinforcement are discussed

Keywords： FRP     ductility     confinement     seismic     shear    

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An improved algorithm for McDowell’s analytical model of residual stress

Zhaoxu QI,Bin LI,Liangshan XIONG

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 150-155 doi: 10.1007/s11465-014-0295-9

Abstract: According to the volume-constancy of plastic deformation, an improved algorithm for McDowell’sIn the algorithm, a relationship between three normal stresses perpendicular to each other at any point

Keywords： residual stress     McDowell’s model     volume-constancy of plastic deformation     FEM     elastoplastic rolling/sliding contact    

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An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 404-417 doi: 10.1631/FITEE.1400189

Abstract: In this paper an improved chaotic hybrid differential evolution (ICHDE) algorithm is proposed to find

Keywords： Valve-point effect     Prohibited discharge zones     Differential evolution     Chaotic sequences     Constraint handling    

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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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Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differentialevolution algorithm

Frontiers in Energy   Pages 782-795 doi: 10.1007/s11708-023-0905-8

Abstract: control strategy of “reactive power compensation first, active power curtailment later,” it employs an improveddifferential evolution (IDE) algorithm based on Cauchy disturbance to control the voltage.distribution systems show that the proposed method not only greatly improves the operational efficiency of the algorithm

Keywords： distributed photovoltaics (DPVs)     cluster partitioning     improved differential evolution algorithm     voltage    

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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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An improved low-complexity sum-product decoding algorithm for low-density parity-check codes

Michaelraj Kingston ROBERTS,Ramesh JAYABALAN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 511-518 doi: 10.1631/FITEE.1400269

Abstract: In this paper, an improved low-complexity sum-product decoding algorithm is presented for low-densityIn the proposed algorithm, reduction in computational complexity is achieved by utilizing fast FourierSimulation results show that the proposed algorithm achieves an overall coding gain improvement rangingMoreover, when compared with the sum-product algorithm (SPA), the proposed decoding algorithm can achieve

Keywords： complexity     Coding gain     Fast Fourier transform (FFT)     Low-density parity-check (LDPC) codes     Sum-product algorithm    

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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 methodThe BFP and injection procedures led to improved objective functional values.Results 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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Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: characteristics of the movement of a special-purpose three-axis servo platform, this paper presents an improvedgrey prediction proportional integral derivative (PID) control algorithm.Different weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improvedalgorithm is better than that of the traditional one.

Keywords： grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

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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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Title Author Date Type Operation

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

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

Journal Article

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

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Journal Article

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis

Lin CAO, Shuo TANG, Dong ZHANG

Journal Article

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

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Innovative hybrid reinforcement constituting conventional longitudinal steel and FRP stirrups for improved

Mostafa FAKHARIFAR,Ahmad DALVAND,Mohammad K. SHARBATDAR,Genda CHEN,Lesley SNEED

Journal Article

An improved algorithm for McDowell’s analytical model of residual stress

Zhaoxu QI,Bin LI,Liangshan XIONG

Journal Article

An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Journal Article

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

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

Cluster voltage control method for “Whole County” distributed photovoltaics based on improved differentialevolution algorithm

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

An improved low-complexity sum-product decoding algorithm for low-density parity-check codes

Michaelraj Kingston ROBERTS,Ramesh JAYABALAN

Journal Article

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

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

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