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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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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: This study concerns with the design optimization of steel skeletal structures thereby utilizing both a real-lifeFor this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s geneticEGAwMP is applied to determine the real-life ready steel profiles for the optimal design of skeletal

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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The Real Time Optimization Research and Application for Transportation Scheduling System About MaterialQuarry of Cement With Genetic and Evolutionary Algorithm

Dai Jianyong,Yang Shijiao,Gu Desheng

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 77-80

Abstract: According to complexity and non-lineer character of transportation scheduling system in surface mine, the realsubject to many factors such as mining craft, yield, quality, etc., with all arithmetic operators of genetic

Keywords： genetic algorithms     transportation scheduling system     transportation cost    

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.That method bases on analysis of the advantages and disadvantages of the annealing and the genetic algorithmThe algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

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Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 318-322 doi: 10.1007/s11709-008-0055-1

Abstract: set of constraints of the Technical Specification for Light-weighted Steel Portal Frames of China, a geneticalgorithm (GA) optimization program for portal frames, written in MATLAB code, was proposed in thisFinally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal

Keywords： satisfactory     genetic-algorithm-based     Technical Specification     algorithm     efficiency    

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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.A novel energy filter algorithm for smoothing the power injected into the grid has been proposed.The results of the case study for different cases, with and without employing the energy filter algorithm

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

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

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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving optimization problemsPassive Congregation (PSOPC), Particle Swarm Ant Colony Optimization (HPSACO), Imperialist Competitive AlgorithmIn addition, five numerical examples are optimized by AGA, Genetic Algorithm (GA), and optimization modules

Keywords： optimization     steel frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceability    

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Improved genetic algorithm and its application to determination of critical slip surface with arbitrary

LI Liang, CHI Shichun, LIN Gao, CHENG Yungming

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 145-150 doi: 10.1007/s11709-008-0016-8

Abstract: order to overcome the problem of being trapped by the local minima encountered in applying the simple geneticalgorithm (GA) to search the critical slip surface of the slope, an improved procedure based on theharmony search algorithm is proposed.

Keywords： information     algorithm     Comparison     generation     feasible    

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Application of micro-genetic algorithm for calibration of kinetic parameters in HCCI engine combustion

HUANG Haozhong, SU Wanhua

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 86-92 doi: 10.1007/s11708-008-0003-8

Abstract: The micro-genetic algorithm (?The seven kinetic parameters of the calibrated model are determined using a combination of the Micro-GeneticAlgorithm and the SENKIN program of CHEMKIN chemical kinetics software package.

Keywords： homogeneous     different     combustion     autoignition     compression    

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General modeling and optimization technique for real-world earth observation satellite scheduling

Frontiers of Engineering Management   Pages 695-709 doi: 10.1007/s42524-023-0263-3

Abstract: This study proposes a general modeling and optimization technique for common and real-world EOS schedulingcases; it includes a decoupled framework, a general modeling method, and an easy-to-use algorithm libraryOn this basis, 10 types of optimization algorithms, such as Tabu search and genetic algorithm, and aparallel competitive memetic algorithm, are developed.In addition, a complicatedly constrained real-world benchmark exampled by a four-EOS Chinese commercial

Keywords： earth observation satellite     scheduling     general technique     optimization algorithm     commercial constellation     real-world     benchmark    

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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 (The hybrid algorithm explores the whole design space for optimum solutions.objective problem are converted to a single objective optimization problem and the proposed hybrid geneticant 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: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1

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

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Fast forward kinematics algorithm for real-time and high-precision control of the 3-RPS parallel mechanism

Yue WANG, Jingjun YU, Xu PEI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 368-375 doi: 10.1007/s11465-018-0519-5

Abstract:

A new forward kinematics algorithm for the mechanism of 3-RPS (R: Revolute; P: Prismatic; S: SphericalThis algorithm is primarily based on the special geometric conditions of the 3-RPS parallel mechanismThis algorithm substantially improves calculation efficiency because the selected initial values areThis novel forward kinematics algorithm is well suited for real-time and high-precision control of the

Keywords： 3-RPS parallel mechanism     forward kinematics     numerical algorithm     parasitic motion    

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combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominated sorting geneticalgorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominated sorting geneticalgorithm-II    

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Title Author Date Type Operation

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

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

The Real Time Optimization Research and Application for Transportation Scheduling System About MaterialQuarry of Cement With Genetic and Evolutionary Algorithm

Dai Jianyong,Yang Shijiao,Gu Desheng

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

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

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

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

Improved genetic algorithm and its application to determination of critical slip surface with arbitrary

LI Liang, CHI Shichun, LIN Gao, CHENG Yungming

Journal Article

Application of micro-genetic algorithm for calibration of kinetic parameters in HCCI engine combustion

HUANG Haozhong, SU Wanhua

Journal Article

General modeling and optimization technique for real-world earth observation satellite scheduling

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

Fast forward kinematics algorithm for real-time and high-precision control of the 3-RPS parallel mechanism

Yue WANG, Jingjun YU, Xu PEI

Journal Article

combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominated sorting geneticalgorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article