Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]
Jisuanji kexue yu tansuoIn order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
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Journal of Hydrology: Regional Studies, 2022 Study region: Reservoir system on the Upper Yellow River Basin (UYRB), China. Study focus: A multipurpose reservoir system with multi-year regulation capacity calls for new optimization with high efficiency owing to the curse of dimensionality.
Hongyi Yao +7 more
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Weakly supervised 3D Reconstruction with Adversarial Constraint
, 2017 Supervised 3D reconstruction has witnessed a significant progress through the use of deep neural networks. However, this increase in performance requires large scale annotations of 2D/3D data.
Chandraker, Manmohan +4 more
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An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis [PDF]
, 2017 The classical Back-Propagation (BP) scheme with gradient-based optimization in training Artificial Neural Networks (ANNs) suffers from many drawbacks, such as the premature convergence, and the tendency of being trapped in local optimums.
Asanjan, AA +5 more
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Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
, 2010 The goal of decentralized optimization over a network is to optimize a global objective formed by a sum of local (possibly nonsmooth) convex functions using only local computation and communication.
Agarwal, Alekh +2 more
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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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Multi-Objective Optimization for Large-scale Allocation of Soybean Crops
Proceedings of the Genetic and Evolutionary Computation ConferenceThe optimal allocation of crops to different parcels of land is a problem of paramount practical importance, not only to improve production, but also to address the challenges posed by climate change. However, this optimization problem is inherently complex, characterized by a vast search space that renders traditional optimization techniques ...
Chen, Mathilde +2 more
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Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Large-Scale Multi-Objective Imaging Satellite Task Planning Algorithm for Vast Area Mapping
Remote Sensing, 2023 With satellite quantity and quality development in recent years, remote sensing products in vast areas are becoming widely used in more and more fields.
Yaxin Chen +3 more
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Application of Multi-Objective Evolutionary Optimization Algorithms to Reactive Power Planning Problem [PDF]
, 2008 This paper presents a new approach to treat reactive power (VAr) planning problem using multi-objective evolutionary algorithms. Specifically, Strength Pareto Evolutionary Algorithm (SPEA) and Multi-Objective Particle Swarm Optimization (MOPSO ...
Mehdi, Eghbal +2 more
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