CHAOS THEORY, ADVANCED METAHEURISTIC ALGORITHMS AND THEIR NEWFANGLED DEEP LEARNING ARCHITECTURE OPTIMIZATION APPLICATIONS: A REVIEW.
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- Fractals, 2024, v. 32, n. 3, p. 1, doi. 10.1142/S0218348X24300010
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Works matching DE "METAHEURISTIC algorithms"
Results: 5000
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Optimizing radiation patterns of mechanically reconfigurable phased arrays using flexible meta-gaps.
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- International Journal of Legal Information, 2024, v. 52, n. 1, p. 838, doi. 10.1017/S1759078723001526
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Recurrent neural network-based modeling of gene regulatory network using elephant swarm water search algorithm.
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- Journal of Bioinformatics & Computational Biology, 2017, v. 15, n. 4, p. -1, doi. 10.1142/S0219720017500160
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Resolving the multiple sequence alignment problem using biogeography-based optimization with multiple populations.
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- Journal of Bioinformatics & Computational Biology, 2015, v. 13, n. 4, p. -1, doi. 10.1142/S021972001550016X
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An efficient design of finite impulse response — Fractional-order differentiator using shuffled frog leaping algorithm heuristic.
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- International Journal of Wavelets, Multiresolution & Information Processing, 2020, v. 18, n. 1, p. N.PAG, doi. 10.1142/S0219691319410054
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Combinatorial Bees Algorithm for Vehicle Routing Problem.
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- Macromolecular Symposia, 2021, v. 396, n. 1, p. 1, doi. 10.1002/masy.202000284
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Design of tripartite square ring metamaterial absorber using polyvinyl chloride as a flexible substrate at s-band and c-band spectrums.
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- Journal of Materials Science: Materials in Electronics, 2023, v. 34, n. 3, p. 1, doi. 10.1007/s10854-022-09544-4
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8
Soldering reflow process optimization based on simulation.
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- International Journal of Advanced Manufacturing Technology, 2025, v. 136, n. 7/8, p. 3163, doi. 10.1007/s00170-024-14944-3
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Achieving sustainability by identifying the influences of cutting parameters on the carbon emissions of a milling process.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 11, p. 5409, doi. 10.1007/s00170-024-14780-5
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Leveraging metaheuristic algorithms with improved hybrid prediction model framework for enhancing surface roughness optimization in CNC turning AISI 316.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 5/6, p. 1955, doi. 10.1007/s00170-024-14654-w
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Optimization of machining efficiency and side quality in irregular sheet metal parts milling based on improved multi-objective seagull optimization algorithm.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 5/6, p. 2755, doi. 10.1007/s00170-024-14540-5
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Maximizing welding efficiency: applying an improved whale optimization algorithm for parametric optimization of bead width in a submerged arc welding process.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 134, n. 5/6, p. 2737, doi. 10.1007/s00170-024-14231-1
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Prediction-based multi-objective optimization method for 3D printing resource consumption.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 134, n. 3/4, p. 1805, doi. 10.1007/s00170-024-14143-0
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A technical perspective on integrating artificial intelligence to solid-state welding.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 132, n. 9/10, p. 4223, doi. 10.1007/s00170-024-13524-9
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Tool remaining useful life prediction and parameters optimization in milling 508III steel.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 129, n. 3/4, p. 1741, doi. 10.1007/s00170-023-12310-3
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Identification of a robotic manipulator using RLS-PSO and control LQI with metaheuristics.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 129, n. 1/2, p. 183, doi. 10.1007/s00170-023-12187-2
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Bio-inspired design, modeling, and 3D printing of lattice-based scale model scooter decks.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 126, n. 7/8, p. 2887, doi. 10.1007/s00170-023-11185-8
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Directed Gaussian process metamodeling with improved firefly algorithm (iFA) for composite manufacturing uncertainty propagation analysis.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 126, n. 1/2, p. 49, doi. 10.1007/s00170-023-10994-1
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A genetic algorithm with path-relinking for operation sequencing in CAPP.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 125, n. 7/8, p. 3667, doi. 10.1007/s00170-023-10907-2
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Resource scheduling in cloud-based manufacturing system: a comprehensive survey.
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- International Journal of Advanced Manufacturing Technology, 2022, v. 122, n. 11/12, p. 4201, doi. 10.1007/s00170-022-09873-y
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Using machine learning for service candidate sets retrieval in service composition of cloud-based manufacturing.
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- International Journal of Advanced Manufacturing Technology, 2021, v. 115, n. 3, p. 941, doi. 10.1007/s00170-020-06381-9
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Machine learning and optimization for production rescheduling in Industry 4.0.
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- International Journal of Advanced Manufacturing Technology, 2020, v. 110, n. 9/10, p. 2445, doi. 10.1007/s00170-020-05850-5
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Process sequencing for a pick-and-place robot in a real-life flexible robotic cell.
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- International Journal of Advanced Manufacturing Technology, 2019, v. 103, n. 9-12, p. 3613, doi. 10.1007/s00170-019-03739-6
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Online fault detection and isolation of an AIR quality monitoring network based on machine learning and metaheuristic methods.
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- International Journal of Advanced Manufacturing Technology, 2018, v. 99, n. 9-12, p. 2789, doi. 10.1007/s00170-018-2674-6
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A robust and self-tuning speed control for permanent magnet synchronous motors via meta-heuristic optimization.
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- International Journal of Advanced Manufacturing Technology, 2018, v. 96, n. 1-4, p. 1283, doi. 10.1007/s00170-018-1690-x
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Integrating firefly algorithm with density functional theory for global optimization of Al42− clusters.
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- Theoretical Chemistry Accounts: Theory, Computation, & Modeling, 2020, v. 139, n. 2, p. 1, doi. 10.1007/s00214-020-2550-y
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27
Structural optimization under dynamic reliability constraints utilizing probability density evolution method and metamodels in augmented input space.
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- Structural & Multidisciplinary Optimization, 2022, v. 65, n. 4, p. 1, doi. 10.1007/s00158-022-03188-y
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Artificial neural network metamodeling-based design optimization of a continuous motorcyclists protection barrier system.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 6, p. 4305, doi. 10.1007/s00158-021-03080-1
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29
Parallel system reliability analysis with a CECBO algorithm.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 1, p. 71, doi. 10.1007/s00158-021-02857-8
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A general optimization strategy for composite sandwich structures.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 6, p. 3027, doi. 10.1007/s00158-021-02849-8
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Simultaneous optimization approach for combined control–structural design versus the conventional sequential optimization method.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 3, p. 1367, doi. 10.1007/s00158-020-02765-3
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32
Finding three-dimensional layouts for crashworthiness load cases using the graph and heuristic based topology optimization.
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- Structural & Multidisciplinary Optimization, 2021, v. 63, n. 1, p. 59, doi. 10.1007/s00158-020-02768-0
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Topology optimization of nonlinear single-layer domes by an improved electro-search algorithm and its performance analysis using statistical tests.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 4, p. 1821, doi. 10.1007/s00158-020-02578-4
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Optimum design of large steel skeletal structures using chaotic firefly optimization algorithm based on the Gaussian map.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 3, p. 879, doi. 10.1007/s00158-019-02263-1
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35
Optimum design of steel braced frames considering dynamic soil-structure interaction.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 3, p. 1123, doi. 10.1007/s00158-019-02260-4
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Modified parameter-setting-free harmony search (PSFHS) algorithm for optimizing the design of reinforced concrete beams.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 3, p. 999, doi. 10.1007/s00158-019-02252-4
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Monitored convergence curve: a new framework for metaheuristic structural optimization algorithms.
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- Structural & Multidisciplinary Optimization, 2019, v. 60, n. 2, p. 481, doi. 10.1007/s00158-019-02219-5
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Simultaneous size and geometry optimization of steel trusses under dynamic excitations.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 6, p. 2545, doi. 10.1007/s00158-018-2039-7
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39
Alternating direction method of multipliers as a simple effective heuristic for mixed-integer nonlinear optimization.
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- Structural & Multidisciplinary Optimization, 2018, v. 58, n. 3, p. 1291, doi. 10.1007/s00158-018-1946-y
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40
Optimal seismic design of 3D steel moment frames: different ductility types.
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- Structural & Multidisciplinary Optimization, 2017, v. 56, n. 6, p. 1353, doi. 10.1007/s00158-017-1727-z
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Modified firefly algorithm for multidimensional optimization in structural design problems.
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- Structural & Multidisciplinary Optimization, 2017, v. 55, n. 6, p. 2013, doi. 10.1007/s00158-016-1624-x
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Enhanced hybrid metaheuristic algorithms for optimal sizing of steel truss structures with numerous discrete variables.
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- Structural & Multidisciplinary Optimization, 2017, v. 55, n. 6, p. 2159, doi. 10.1007/s00158-016-1634-8
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Optimization of retaining wall design using evolutionary algorithms.
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- Structural & Multidisciplinary Optimization, 2017, v. 55, n. 3, p. 809, doi. 10.1007/s00158-016-1521-3
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Optimal design of large-scale space steel frames using cascade enhanced colliding body optimization.
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- Structural & Multidisciplinary Optimization, 2017, v. 55, n. 1, p. 237, doi. 10.1007/s00158-016-1494-2
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A new metaheuristic for continuous structural optimization: water evaporation optimization.
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- Structural & Multidisciplinary Optimization, 2016, v. 54, n. 1, p. 23, doi. 10.1007/s00158-015-1396-8
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Optimum design of steel space frames including soil-structure interaction.
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- Structural & Multidisciplinary Optimization, 2016, v. 54, n. 1, p. 117, doi. 10.1007/s00158-016-1401-x
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47
A multi-objective mixed-discrete particle swarm optimization with multi-domain diversity preservation.
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- Structural & Multidisciplinary Optimization, 2016, v. 53, n. 3, p. 471, doi. 10.1007/s00158-015-1319-8
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48
Structural design using multi-objective metaheuristics. Comparative study and application to a real-world problem.
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- Structural & Multidisciplinary Optimization, 2016, v. 53, n. 3, p. 545, doi. 10.1007/s00158-015-1291-3
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Truss optimization with discrete design variables: a critical review.
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- Structural & Multidisciplinary Optimization, 2016, v. 53, n. 2, p. 349, doi. 10.1007/s00158-015-1333-x
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A survey of multi-objective metaheuristics applied to structural optimization.
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- Structural & Multidisciplinary Optimization, 2014, v. 49, n. 4, p. 537, doi. 10.1007/s00158-013-0996-4
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