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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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Development of a combined approach for improvement and optimization of karanja biodiesel using responsesurface methodology and genetic algorithm

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 495-505 doi: 10.1007/s11708-013-0267-5

Abstract: This paper described the production of karanja biodiesel using response surface methodology (RSM) and geneticalgorithm (GA).Hence, 25% of the improvement in the biodiesel yield was reported.

Keywords： optimization of karanja biodiesel     genetic algorithm (GA)     response surface methodology (RSM)     percentageimprovement in the biodiesel yield     properties of biodiesel    

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The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs

Zhong Denghua,Xiong Kaizhi,Cheng Liqin

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 22-26

Abstract:

Genetic algorithms search for the optimal solution by continually improving the individual of theBecause of the difficulty in convergence and solving of individual fitness, standard genetic algorithmBased on the improvement of SGA, especially the improvement of the selection operator in SGA, a new geneticalgorithm(AGA) is proposed to solve the problems about the optimal operation of reservoirs.algorithm in the optimal operation of reservoirs.

Keywords： genetic algorithm     improvement     reservoir     optimal operation    

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Research progress on genetic improvement of

Chuanping YANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 391-401 doi: 10.15302/J-FASE-2017183

Abstract: Over the past 30 years, effective progress has been made in genetic improvement and molecular breedingmolecular markers were developed and the high density genetic map constructed.All this research has provided a model and data for the foundation of forest genetic improvement and

Keywords： Betula platyphylla     genetic improvement     molecular breeding     seed orchard    

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Embryo-mediated genome editing for accelerated genetic improvement of livestock

Zachariah MCLEAN, Björn OBACK, Götz LAIBLE

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2,   Pages 148-160 doi: 10.15302/J-FASE-2019305

Abstract: opportunities to modernize animal breeding by overcoming this biological limitation and accelerating geneticTo realize rapid genetic gain, precise edits need to be introduced into genomically-selected embryos,which minimizes the genetic lag.Such a breeding strategy would enable a more targeted, accelerated approach for livestock improvementvariants, even including novel traits from outside the breeding population, in the most recent elite genetic

Keywords： cattle     cloning     CRISPR/Cas9     cytoplasmic injection     embryo     genome editing     germline chimaeras     HDR     livestock improvement    

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Molecular regulation and genetic improvement of seed oil content in

Wei HUA,Jing LIU,Hanzhong WANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3,   Pages 186-194 doi: 10.15302/J-FASE-2016107

Abstract: As an important oil crop and a potential bioenergy crop, L. is becoming a model plant for basic research on seed lipid biosynthesis as well as seed oil content, which has always been the key breeding objective. In this review, we present current progress in understanding of the regulation of oil content in , including genetics, biosynthesis pathway, transcriptional regulation, maternal effects and QTL analysis. Furthermore, the history of breeding for high oil content in is summarized and the progress in breeding ultra-high oil content lines is described. Finally, prospects for breeding high oil content cultivars are outlined.

Keywords： breeding     maternal effects     oilseed rape     QTL    

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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: For 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 genetic

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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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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Genetic improvement of wheat grain quality at CIMMYT

Carlos GUZMÁN, Karim AMMAR, Velu GOVINDAN, Ravi SINGH

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 265-272 doi: 10.15302/J-FASE-2019260

Abstract:

The International Maize and Wheat Improvement Center (CIMMYT) is the global leader in publicly-fundedWheat quality improvement is a central component of all the breeding efforts at CIMMYT and the WheatThe main topics being addressed are (1) methodologies to analyze grain quality traits, (2) genetic controland environmental effects on quality traits, (3) characterization of genetic resources for quality improvement

Keywords： biofortification     breeding     grain quality     wheat    

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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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Genetic Crop Improvement: A Guarantee for Sustainable Agricultural Production

Jianmin Wan

Engineering 2018, Volume 4, Issue 4,   Pages 431-432 doi: 10.1016/j.eng.2018.07.019

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Title Author Date Type Operation

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Development of a combined approach for improvement and optimization of karanja biodiesel using responsesurface methodology and genetic algorithm

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Journal Article

The Improvement of Genetic Algorithm and Its Application in the Optimal Operation of Reservoirs

Zhong Denghua,Xiong Kaizhi,Cheng Liqin

Journal Article

Research progress on genetic improvement of

Chuanping YANG

Journal Article

Embryo-mediated genome editing for accelerated genetic improvement of livestock

Zachariah MCLEAN, Björn OBACK, Götz LAIBLE

Journal Article

Molecular regulation and genetic improvement of seed oil content in

Wei HUA,Jing LIU,Hanzhong WANG

Journal Article

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

Tugrul TALASLIOGLU

Journal Article

Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Journal Article

Genetic improvement of wheat grain quality at CIMMYT

Carlos GUZMÁN, Karim AMMAR, Velu GOVINDAN, Ravi SINGH

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

Genetic Crop Improvement: A Guarantee for Sustainable Agricultural Production

Jianmin Wan

Journal Article