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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization(HBO) algorithm.

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

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

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: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedParticle 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 sample

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     water    

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: To overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.The primary objective of this article is to provide an up-to-date review of the existing design and optimizationPerspectives on future research on the design and optimization of reactive distillation method are proposed

Keywords： reactive distillation     process intensification     design method     reactive phase diagram     optimization algorithm    

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Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 5,   Pages 87-94

Abstract:

Particle swarm optimization (PSO) is a new optimization technique originating from artificial lifeThe algorithm completes the optimization through following the personal best solution of each particle

Keywords： swarm intelligence     evolutionary algorithm     particle swarm optimization    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presentedthe computation results of the numerical experiments are provided to verify the effectiveness of the algorithm

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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

Frontiers of Structural and Civil Engineering   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: analysis using the Finite Element Method (FEM) and Artificial Neural Network (ANN) combined with Butterfly OptimizationAlgorithm (BOA).

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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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 bothFor 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 algorithmConsequently, EGAwMP is suggested as a design optimization tool for the real-life steel skeletal structures

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 11-11 doi: 10.1007/s11465-021-0667-x

Abstract: process constraints and vibration avoidance constraints, the optimization model of the pipeline systemThe genetic algorithm and the golden section algorithm are selected to solve the optimization model,Results show that the developed optimization method can obtain the optimal single value or interval ofIn addition, the optimization efficiency of the golden section algorithm is remarkably higher than thatof the genetic algorithm for length optimization of a single straight-line segment.

Keywords： length adjustment     spatial pipeline     aero-engine     vibration avoidance optimization     genetic algorithm     golden section algorithm    

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Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 255-259 doi: 10.1007/s11708-012-0202-1

Abstract: In this paper the invasive weed optimization algorithm has been applied to a variety of economic dispatchIn general, they are non-linear non-convex optimization problems which cannot be directly solved by conventionalIn this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds

Keywords： economic dispatch (ED)     invasive weed optimization     non-convexity     prohibited operating zones (POZ)     valve    

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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: These regression equations are further utilized for simultaneous optimization of combustion (BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimizationNon-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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Shape optimization of aluminium alloy spherical reticulated shells considering nonlinearities

Frontiers of Structural and Civil Engineering   Pages 1565-1580 doi: 10.1007/s11709-022-0867-4

Abstract: This study proposes a shape optimization method for K6 aluminum alloy spherical reticulated shells withThe optimization procedure adopts a genetic algorithm in which the elastoplastic non-linear bucklingBy confinement of the adjustment range of the controlling points, optimization results have enabled aIn addition, the variation in structural performance during optimization is illustrated.

Keywords： shape optimization     aluminum alloy     spherical reticulated shell     non-linear buckling     material nonlinearity     genetic algorithm    

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of Chinese Academy of Engineering 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.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

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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 (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 cost    

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Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 4,   Pages 51-55

Abstract:

Multi-method collaborative optimization algorithm based on embedding collaboration is advanced.A multimethod collaborative optimization algorithm base on embedding collaboration is designed, whichis composed of genetic algorithm, pattern search method and Powell's method.Results show that multi-method collaborative optimization algorithm based on embedding collaborationobtains better global optimization performance than single optimization method.

Keywords： multimethod collaborative optimization algorithm     embedding collaboration     genetic algorithm     pattern search    

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Title Author Date Type Operation

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

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

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Design and optimization of reactive distillation: a review

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

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

Journal Article

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

Tugrul TALASLIOGLU

Journal Article

Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Journal Article

Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

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

Shape optimization of aluminium alloy spherical reticulated shells considering nonlinearities

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

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

Kallol ROY,Kamal Krishna MANDAL

Journal Article

Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Journal Article