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Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0706-2

Abstract: Multiobjective trajectory planning is still face challenges due to certain practical requirements andIn this paper, a multiobjective trajectory optimization approach that sets energy consumption, executionThen, a novel hybrid constrained multiobjective evolutionary algorithm based on decomposition is proposedto deal with this constrained multiobjective optimization problem.proposed approach can provide the high-quality Pareto optimal solutions and outperforms other trajectory optimization

Keywords： trajectory planning electro-hydraulic shovel cubic polynomial S-curve multiobjective optimization

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A review of the multiobjective tradeoff research of construction projects based on intelligent optimization

Zhang Lianying,Xu Chang,Wu Qiong

Strategic Study of CAE 2012, Volume 14, Issue 11, Pages 107-112

Abstract: In this paper, a review is provided for the multiobjective tradeoff research of construction projects

Keywords： construction project project management multi-objective optimization intelligent optimization algorithm

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Multiobjective Decision Making Theory and Model for Floodcontrol Operation

Chen Shouyu

Strategic Study of CAE 2000, Volume 2, Issue 2, Pages 47-52

Abstract: floodcontrol operation in china, this paper sumarized decision making problems of floodcontrol and proposed multiobjectiveThese include some new achievements such as multiobjective fuzzy optimum seeking theory and model for

Keywords： Floodcontrol operation decision making multiobjective objective weight

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposed

Keywords： clustering different recognition algorithm Algorithm multiobjective

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Product Modular Design Method for Active Recovery

Zhang Chongyuan,Wei Wei,Zhan Yang,Li Rupeng

Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 42-49 doi: 10.15302/J-SSCAE-2018.02.007

Abstract: criteria and takes the active recovery, internal polymerization degree and external coupling degree as the optimizationIn the algorithm section, this paper proposes the clonal multi-objective optimization algorithm.

Keywords： active recycling multiobjective optimization modular partition improved immune algorithm green design

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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: We propose a novel framework incorporating superstructure optimization and simulation-based optimizationIn this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingFurthermore, the framework’s synergistic effects by sequentially performing superstructure optimizationThese findings invite for a critical assessment of surrogate-based optimization approaches and point

Keywords： biotechnology surrogate modelling superstructure optimization simulation-based optimization process

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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3, Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: System reliability optimization problems have been widely discussed to maximize system reliability withThe rules for simple optimization problems are summarized to enhance system reliability by using rankingThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtainFurthermore, a general framework driven by IM is developed to solve optimization problems.Finally, some challenges in system reliability optimization that need to be solved in the future are

Keywords： importance measure system performance reliability optimization optimization rules optimization algorithms

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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 presented

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

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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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Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Frontiers in Energy 2020, Volume 14, Issue 3, Pages 530-544 doi: 10.1007/s11708-019-0657-4

Abstract: In this paper, the detailed progress of design and optimization for hydrogen liquefaction in recent yearsFinally, several future improvements for hydrogen liquefaction process design and optimization are proposed

Keywords： hydrogen liquefaction energy consumption efficiency optimization

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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

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

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: and scheduling, real world problems cannot be fully captured considering only a single objective for optimizationIn this paper, an optimization algorithm for solving MOIPPS problem is presented.

Keywords： integrated process planning and scheduling (IPPS) dispatching rules priority based optimization algorithm multi-objective optimization

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Footholds optimization for legged robots walking on complex terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0742-y

Abstract: This paper proposes a novel continuous footholds optimization method for legged robots to expand theirThen, it constructs an optimization function combined with the robot’s state information to select thediscrete enumeration search, as far as we know, the proposed algorithm is the first to use a continuous optimization

Keywords： footholds optimization legged robot complex terrain adapting hexapod robot locomotion control

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1, Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: improved loss function-based artificial neural network (ILF-ANN) combined with quantum particle swarm optimization

Keywords： tunnel boring machine control parameter optimization quantum particle swarm optimization artificial

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Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 138-144 doi: 10.1007/s11465-015-0333-2

Abstract:

The reliability-based design optimization, the reliability sensitivity analysis and robust designmethod are employed to present a practical and effective approach for reliability-based robust design optimizationA procedure for reliability-based robust design optimization of vehicle components is proposed.Application of the method is illustrated by reliability-based robust design optimization of axle andresults have shown that the proposed method can be trusted to perform reliability-based robust design optimization

Keywords： vehicle components reliability-based design optimization reliability-based sensitivity analysis multi-objectiveoptimization robust design