Multiobjective optimization of a gas pipeline network: an ant colony approach
Journal of Petroleum Exploration and Production Technology, 2017 Optimization problems in gas pipeline transportation involve numerous variables, multiple objectives and many complex linear–nonlinear equality and inequality constraints.
Adarsh Kumar Arya, Shrihari Honwad
doaj +1 more source
Flower pollination algorithm: a novel approach for multiobjective optimization [PDF]
, 2014 Multiobjective design optimization problems require multiobjective optimization techniques to solve, and it is often very challenging to obtain high-quality Pareto fronts accurately.
Cagnina L. C. +10 more
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Multiobjective Optimization Management of Construction Engineering Based on Ant Colony Algorithm
Journal of Control Science and Engineering, 2022 In order to solve the problems of extensive management, the construction stage often faces the extension of construction period, excessive cost, and large amount of carbon emission and this paper proposes a multiobjective optimization management method ...
Xuejie Liang
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Decision support for build-to-order supply chain management through multiobjective optimization [PDF]
, 2012 This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections,
Askariazad, MH, Gallear, D, Mansouri, SA
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A multifidelity multiobjective optimization framework for high-lift airfoils [PDF]
, 2016 High-lift devices design is a challenging task as it involves highly complex flow features while being critical for the overall performance of the aircraft.
Demange, Jean +2 more
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Navigating Ternary Doping in Li‐ion Cathodes With Closed‐Loop Multi‐Objective Bayesian Optimization
Advanced Materials, EarlyView.The search for advanced battery materials is pushing us into highly complex composition spaces. Here, a space with about 14 million unique combinations is efficiently explored using high‐throughput experimentation guided by Bayesian optimization with a deep kernel trained on both the Materials Project database and our data.
Nooshin Zeinali Galabi +6 more
wiley +1 more source
A test problem for visual investigation of high-dimensional multi-objective search [PDF]
, 2014 An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Miqing Li +5 more
core +4 more sources
Inverse‐Designed on‐Chip Terahertz Three‐Channel Mode and Wavelength Division Demultiplexer
Advanced Photonics Research, EarlyView.An ultracompact terahertz demultiplexer is developed using a hybrid inverse design that combines genetic algorithms with topology optimization. The device enables simultaneous mode‐ and wavelength‐division multiplexing within a footprint smaller than two wavelengths.
Faqian Chong +5 more
wiley +1 more source
Multiobjective genetic algorithm strategies for electricity production from generation IV nuclear technology [PDF]
, 2010 Development of a technico-economic optimization strategy of cogeneration systems of electricity/hydrogen, consists in finding an optimal efficiency of the generating cycle and heat delivery system, maximizing the energy production and minimizing the ...
Azzaro-Pantel, Catherine +5 more
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Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source