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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 CAE 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   Pages 499-516 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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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: To solve the problem efficiently, a heuristic algorithm combined with a convolutional neural networkvariables are used as the CNN input, leading to the integration of a data-driven approach and classical optimizationby which a heuristic algorithm is established.petrochemical complex under planning and scheduling, but also confirm the high efficiency of the proposed algorithm

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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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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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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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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Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Strategic Study of CAE 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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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.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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A simple multi-wave algorithm for the uncapacitated facility location problem

Fred GLOVER, Saïd HANAFI, Oualid GUEMRI, Igor CREVITS

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 451-465 doi: 10.15302/J-FEM-2018038

Abstract:

The multi-wave algorithm (Glover, 2016) integrates tabu search and strategic oscillation utilizingWe propose a simple multi-wave algorithm for solving the Uncapacitated Facility Location Problem (UFLPexperimental tests on a standard set of benchmarks for this widely-studied class of problems show that our algorithm

Keywords： discrete optimization     UFLP     multi-wave optimization     strategic oscillation     tabu search    

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

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

Abstract: Over the last two decades, many modeling and optimization techniques have been developed for earth observationThis 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.

Keywords： earth observation satellite     scheduling     general technique     optimization algorithm     commercial constellation    

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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

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

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

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

Tugrul TALASLIOGLU

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

Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

Luo Wencai,Luo Shishan,Wang Zhenguo

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

A simple multi-wave algorithm for the uncapacitated facility location problem

Fred GLOVER, Saïd HANAFI, Oualid GUEMRI, Igor CREVITS

Journal Article

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

Journal Article