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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: In this study, we considered a bi-objective, multi-project, multi-mode resource-constrained project schedulingWe adopted three objective pairs as combinations of the net present value (NPV) as a financial performanceWe 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.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     multi-objective multi-project multi-mode resource-constrained project scheduling problem    

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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.Weight and maximum displacement of the structure are employed as the objective functions for multi-objectiveobjective optimization problem and the proposed hybrid genetic ant colony algorithm (HGAC) is developed

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

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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: The economic power dispatch problem has, therefore, become a multi-objective optimization problem.Now the power dispatch is formulated into a bi-objective optimization problem, two objectives with twoalgorithms, firefly algorithm for optimization the fuel cost, pollutant emissions and the real geneticalgorithm for minimization of the transmission losses.In 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 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 optimization of process parameters in Electro-Discharge Diamond Face Grinding based onANN-NSGA-II hybrid technique

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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Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-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: As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimization problem is formulated.Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominatedsorting genetic algorithm-II    

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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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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:

In this paper, a multi-objective optimization model is established for the investment plan and operationmanagement of a hybrid distributed energy system.environmental benefits, the overall annual cost and emissions of CO2 equivalents are selected as the objectiveTo 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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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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An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 160-172 doi: 10.1631/FITEE.1500168

Abstract: We suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) andthe adaptive weighted sum (AWS) method.Both power and timing yield are set as objective functions inThen a power-delay bi-objective optimization model is formulated by computation of cumulative distributionExperimental results on ISCAS benchmark circuits show that the proposed bi-objective framework is capable

Keywords： Parameter variations     Parametric yield     Multi-objective optimization     Chebyshev affine     Adaptive weighted    

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Multi-objective optimization of molten carbonate fuel cell system for reducing CO

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 106-114 doi: 10.1007/s11708-014-0341-7

Abstract: By applying multi-objective optimization (MOO) using the genetic algorithm, the optimal values of operatingload and the corresponding values of objective functions are obtained.Objective functions are minimization of the cost of electricity (COE) and minimization of CO emissionCO tax that is accounted as the pollution-related cost, transforming the environmental objective to

Keywords： molten carbonate fuel cell (MCFC)     multi-objective optimization (MOO)     Pareto curve     genetic algorithm     CO    

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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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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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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: the dynamic performance and reduce the weight of the planet carrier in wind turbine gearbox, a multi-objectiveand the minimum mass of the studied part, is proposed by combining the response surface method and geneticAnd a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization.

Keywords： planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

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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 (The management of distributed energy sources with MG is a multi-objective problem which consists of windsource of the MG units are needed to describe the operating cost of the output power generated, the objectiveof the hybrid model is to minimize the fuel cost of the MG sources such as FC, MT and DG.Here, 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    

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Title Author Date Type Operation

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

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

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

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

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

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

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

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based onANN-NSGA-II hybrid technique

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

Journal Article

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

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

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

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

Trina SOM, Niladri CHAKRABORTY

Journal Article

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Journal Article

Multi-objective optimization of molten carbonate fuel cell system for reducing CO

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

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

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

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

Kallol ROY,Kamal Krishna MANDAL

Journal Article