NSTL国家科技图书文献中心

1. Solving many-objective optimisation problems using partial dominance NSTL国家科技图书文献中心

Mardé,Helbig | Andries,Engelbrecht - 《Neural computing & applications》 - 2025,37(2) - 653～694 - 共42页

摘要：Most optimisation* problems have multiple* | , the goal of a multi-objective optimisation* algorithm* | -objective optimisation* problem, where solutions equal in* | , many-objective optimisation* problems (MaOPs) have* | , often conflicting, objectives. Due to the conflicting

关键词： Partial dominance | Many-objective optimisation | Particle swarm optimisation | Evolutionary algorithms

2. Topology-inclusive aerodynamic shape optimisation using a cellular automata parameterisation NSTL国家科技图书文献中心

Wood, M. J. | Rendall, T. C. S.... - 《Structural and multidisciplinary optimization》 - 2025,68(2) - 共23页

摘要： optimisation methods, the parameterisation is then shown to | A novel geometry parameterisation method | constructed from a volume-of-solid driven cellular automata | is presented. The method is capable of describing | complex geometry of arbitrary topology using a set of

关键词： Optimisation | Parameterisation | Cellular automata | Aerodynamic topology optimisation

3. DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching NSTL国家科技图书文献中心

Paul Roetzer | Ahmed Abbas ... - 《Computer Vision - ECCV 2024,Part LIII》 - European Conference on Computer Vision - 2025, - 443～460 - 共18页

摘要： contrary, axiomatic, optimisation-based methods allow to | initialisation of non-convex optimisation* problems. We work* | In this work we propose to combine the | advantages of learning-based and combinatorial formalisms | for 3D shape matching. While learning-based methods

关键词： Shape matching | Discrete optimisation

4. An efficient memory based differential evolution for constrained optimisation NSTL国家科技图书文献中心

Raghav Prasad Parouh... - 《International journal of advanced intelligence paradigms》 - 2025,30(1) - 69～94 - 共26页

摘要： constrained optimisation* problems (COPs). It contained new* | optimisation (PSO) circumstance. The performancesmbDE has | Differential evolution (DE) and its diverse | variants are prominently inflated by unfitting operators | like mutation and crossover. Basically, DE is doesn't

关键词： differential evolution | PSO | particle swarm optimisation | mutation | crossover | elitism | COPs | constrained optimisation problems

5. Small aircraft flight trajectory optimisation using a multidisciplinary approach NSTL国家科技图书文献中心

M. Rostami | J. Bardin ... - 《The Aeronautical journal》 - 2025,129(Mar. TN.1333) - 671～689 - 共19页

摘要： costs. Flight path optimisation* is a commonly pursued* | optimisation process consists of a multidisciplinary-feasible | the aircraft and the optimisation* process are* | optimisation results show that SAFPO can be used to make | multidisciplinary approach and numerical optimisations, a novel

关键词： aircraft performance | flight trajectory optimisation | small aircraft | multidisciplinary approach | Operative cost reduction

6. Study on bionic leaf-vein like heat sinks topology optimisation method NSTL国家科技图书文献中心

ChuanChang Dong | ChunBo Zhang ... - 《Energy》 - 2025,319(Mar.15) - 135027.1～135027.12 - 共12页

摘要： heat sink topology optimisation* method (bionic* | topology optimisation* method). This method consists of* | two steps: bionic optimisation* and topology* | optimisation. In this study, a bionic optimisation method was | , topology optimisation* was performed on an ordinary bionic*

关键词： Natural convection heat transfer | Topology optimisation | Bionic optimisation | Finned heat sinks

7. Crashworthiness topology optimisation of a crash box to improve passive safety during a frontal impact NSTL国家科技图书文献中心

Silva, Christian J. ... | Lopes, Rogerio F. F.... - 《Structural and multidisciplinary optimization》 - 2025,68(1) - 共24页

摘要： topology optimisation* algorithms to improve the* | optimisation methods can be used to find a compromise between | optimisation in the context of vehicle structure | difficulty, this study performed the optimisation* process* | optimisation algorithms built within a Matlab code, that

关键词： Topology optimisation | Crashworthiness | Passive safety | ESO | BESO | SIMP

8. Stress-constrained concurrent multiscale topological design of porous composites based on discrete material optimisation NSTL国家科技图书文献中心

Guangkai Wei | Yuan Chen ... - 《Applied mathematical modelling》 - 2025,137(Pt.B) - 115730～ - 共22页

摘要： concurrent multiscale topology optimisation* (CMTO) method* | throughout the optimisation* process, a continuous and* | developed based on the discrete material optimisation* (DMO* | concurrent optimisation* of the macro-structural* | Porous composites have attracted increasing

关键词： Multiscale topology optimisation | Discrete material optimisation | Porous composites | Isogeometric analysis | Stress constraint

9. GridapTopOpt.jl: a scalable Julia toolbox for level set-based topology optimisation NSTL国家科技图书文献中心

Wegert, Zachary J. | Manyer, Jordi ... - 《Structural and multidisciplinary optimization》 - 2025,68(1) - 共23页

摘要： optimisation that can be readily distributed across a | implementation of a wide range of topology optimisation | benchmark and research topology optimisation* problems with* | optimisation problems. The driver scripts for these problems | In this paper, we present GridapTopOpt, an

关键词： Topology optimisation | Level set method | Distributed computing | Automatic differentiation | Julia

10. A moving window method for time series optimisation, with applications to energy storage and hydrogen production NSTL国家科技图书文献中心

Dylan S.S. Green | Alexander Y. Klimenk... - 《Energy》 - 2025,318(Mar.1) - 134616.1～134616.13 - 共13页

摘要： optimisation problems by converting one problem over a large | and it is found that for large optimisation* problems* | the base optimisation* algorithm used in this study* | Temporal decomposition methods aim to solve | time series into a series of subproblems over shorter

摘要：Most optimisation* problems have multiple* | , the goal of a multi-objective optimisation* algorithm* | -objective optimisation* problem, where solutions equal in* | , many-objective optimisation* problems (MaOPs) have* | , often conflicting, objectives. Due to the conflicting

关键词： Partial dominance | Many-objective optimisation | Particle swarm optimisation | Evolutionary algorithms

摘要： optimisation methods, the parameterisation is then shown to | A novel geometry parameterisation method | constructed from a volume-of-solid driven cellular automata | is presented. The method is capable of describing | complex geometry of arbitrary topology using a set of

关键词： Optimisation | Parameterisation | Cellular automata | Aerodynamic topology optimisation

摘要： contrary, axiomatic, optimisation-based methods allow to | initialisation of non-convex optimisation* problems. We work* | In this work we propose to combine the | advantages of learning-based and combinatorial formalisms | for 3D shape matching. While learning-based methods

关键词： Shape matching | Discrete optimisation

摘要： constrained optimisation* problems (COPs). It contained new* | optimisation (PSO) circumstance. The performancesmbDE has | Differential evolution (DE) and its diverse | variants are prominently inflated by unfitting operators | like mutation and crossover. Basically, DE is doesn't

关键词： differential evolution | PSO | particle swarm optimisation | mutation | crossover | elitism | COPs | constrained optimisation problems

关键词： aircraft performance | flight trajectory optimisation | small aircraft | multidisciplinary approach | Operative cost reduction

摘要： heat sink topology optimisation* method (bionic* | topology optimisation* method). This method consists of* | two steps: bionic optimisation* and topology* | optimisation. In this study, a bionic optimisation method was | , topology optimisation* was performed on an ordinary bionic*

关键词： Natural convection heat transfer | Topology optimisation | Bionic optimisation | Finned heat sinks

摘要： topology optimisation* algorithms to improve the* | optimisation methods can be used to find a compromise between | optimisation in the context of vehicle structure | difficulty, this study performed the optimisation* process* | optimisation algorithms built within a Matlab code, that

关键词： Topology optimisation | Crashworthiness | Passive safety | ESO | BESO | SIMP

摘要： concurrent multiscale topology optimisation* (CMTO) method* | throughout the optimisation* process, a continuous and* | developed based on the discrete material optimisation* (DMO* | concurrent optimisation* of the macro-structural* | Porous composites have attracted increasing

关键词： Multiscale topology optimisation | Discrete material optimisation | Porous composites | Isogeometric analysis | Stress constraint

摘要： optimisation that can be readily distributed across a | implementation of a wide range of topology optimisation | benchmark and research topology optimisation* problems with* | optimisation problems. The driver scripts for these problems | In this paper, we present GridapTopOpt, an

关键词： Topology optimisation | Level set method | Distributed computing | Automatic differentiation | Julia

摘要： optimisation problems by converting one problem over a large | and it is found that for large optimisation* problems* | the base optimisation* algorithm used in this study* | Temporal decomposition methods aim to solve | time series into a series of subproblems over shorter

关键词： Optimisation | Temporal decomposition | Nonlinear optimisation | Moving window | Energy system | Renewable integration | Hydrogen

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Most optimisation problems have multiple | , the goal of a multi-objective optimisation algorithm | -objective optimisation problem, where solutions equal in | , many-objective optimisation problems (MaOPs) have | , often conflicting, objectives. Due to the conflicting

关键词： Partial dominance | Many-objective optimisation | Particle swarm optimisation | Evolutionary algorithms

摘要： optimisation methods, the parameterisation is then shown to | A novel geometry parameterisation method | constructed from a volume-of-solid driven cellular automata | is presented. The method is capable of describing | complex geometry of arbitrary topology using a set of

关键词： Optimisation | Parameterisation | Cellular automata | Aerodynamic topology optimisation

摘要： contrary, axiomatic, optimisation-based methods allow to | initialisation of non-convex optimisation problems. We work | In this work we propose to combine the | advantages of learning-based and combinatorial formalisms | for 3D shape matching. While learning-based methods

关键词： Shape matching | Discrete optimisation

摘要： constrained optimisation problems (COPs). It contained new | optimisation (PSO) circumstance. The performancesmbDE has | Differential evolution (DE) and its diverse | variants are prominently inflated by unfitting operators | like mutation and crossover. Basically, DE is doesn't

关键词： differential evolution | PSO | particle swarm optimisation | mutation | crossover | elitism | COPs | constrained optimisation problems

关键词： aircraft performance | flight trajectory optimisation | small aircraft | multidisciplinary approach | Operative cost reduction

摘要： heat sink topology optimisation method (bionic | topology optimisation method). This method consists of | two steps: bionic optimisation and topology | optimisation. In this study, a bionic optimisation method was | , topology optimisation was performed on an ordinary bionic

关键词： Natural convection heat transfer | Topology optimisation | Bionic optimisation | Finned heat sinks

摘要： topology optimisation algorithms to improve the | optimisation methods can be used to find a compromise between | optimisation in the context of vehicle structure | difficulty, this study performed the optimisation process | optimisation algorithms built within a Matlab code, that

关键词： Topology optimisation | Crashworthiness | Passive safety | ESO | BESO | SIMP

摘要： concurrent multiscale topology optimisation (CMTO) method | throughout the optimisation process, a continuous and | developed based on the discrete material optimisation (DMO | concurrent optimisation of the macro-structural | Porous composites have attracted increasing

关键词： Multiscale topology optimisation | Discrete material optimisation | Porous composites | Isogeometric analysis | Stress constraint

摘要： optimisation that can be readily distributed across a | implementation of a wide range of topology optimisation | benchmark and research topology optimisation problems with | optimisation problems. The driver scripts for these problems | In this paper, we present GridapTopOpt, an

关键词： Topology optimisation | Level set method | Distributed computing | Automatic differentiation | Julia

摘要： optimisation problems by converting one problem over a large | and it is found that for large optimisation problems | the base optimisation algorithm used in this study | Temporal decomposition methods aim to solve | time series into a series of subproblems over shorter

关键词： Optimisation | Temporal decomposition | Nonlinear optimisation | Moving window | Energy system | Renewable integration | Hydrogen

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Most optimisation* problems have multiple* | , the goal of a multi-objective optimisation* algorithm* | -objective optimisation* problem, where solutions equal in* | , many-objective optimisation* problems (MaOPs) have* | , often conflicting, objectives. Due to the conflicting

摘要： contrary, axiomatic, optimisation-based methods allow to | initialisation of non-convex optimisation* problems. We work* | In this work we propose to combine the | advantages of learning-based and combinatorial formalisms | for 3D shape matching. While learning-based methods

摘要： constrained optimisation* problems (COPs). It contained new* | optimisation (PSO) circumstance. The performancesmbDE has | Differential evolution (DE) and its diverse | variants are prominently inflated by unfitting operators | like mutation and crossover. Basically, DE is doesn't

摘要： heat sink topology optimisation* method (bionic* | topology optimisation* method). This method consists of* | two steps: bionic optimisation* and topology* | optimisation. In this study, a bionic optimisation method was | , topology optimisation* was performed on an ordinary bionic*

摘要： topology optimisation* algorithms to improve the* | optimisation methods can be used to find a compromise between | optimisation in the context of vehicle structure | difficulty, this study performed the optimisation* process* | optimisation algorithms built within a Matlab code, that

摘要： concurrent multiscale topology optimisation* (CMTO) method* | throughout the optimisation* process, a continuous and* | developed based on the discrete material optimisation* (DMO* | concurrent optimisation* of the macro-structural* | Porous composites have attracted increasing

摘要： optimisation that can be readily distributed across a | implementation of a wide range of topology optimisation | benchmark and research topology optimisation* problems with* | optimisation problems. The driver scripts for these problems | In this paper, we present GridapTopOpt, an

摘要： optimisation problems by converting one problem over a large | and it is found that for large optimisation* problems* | the base optimisation* algorithm used in this study* | Temporal decomposition methods aim to solve | time series into a series of subproblems over shorter