Search Results - Large-scale computational optimization

Preface: New trends in large scale optimization: Preface: New trends in large scale optimization by Bellavia, Stefania, De Simone, Valentina, Morini, Benedetta

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Low computational sequential optimization for large-scale satellite formation reconfiguration by Wang, Jihe, Zeng, Qiaoling, Xu, Chenglong, Zhang, Chengxi, Zhang, Jinxiu

“…Large-scale satellite formations enhance mission flexibility and redundancy but also increase challenges in coordination, computational load and collision risks…”
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Adaptive evolution strategies in structural optimization: Enhancing their computational performance with applications to large-scale structures by HASANCEBI, O

“…In this study the computational performance of adaptive evolution strategies (ESs) in large-scale structural optimization is mainly investigated to achieve the following objectives…”
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Integration of scheduling and control with online closed-loop implementation: Fast computational strategy and large-scale global optimization algorithm by Chu, Yunfei, You, Fengqi

“… The integrated problem is formulated as a mixed-integer dynamic optimization (MIDO) problem which contains discrete variables in the scheduling problem and constraints of differential equations from the control problem…”
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Dynamic Grouping With a Self-Aware Computational Resource Allocation for Large-Scale Multi-Objective Optimization by Chen, Yuning, Zhou, Ziqing, Liu, Yi, Hu, Linqiang, Zou, Zhuo, Xu, Lida, Gan, Zhongxue, Ouyang, Chun

“…In real-world applications, many problems are characterized by numerous variables and conflicting objectives, which are referred to as Large-Scale Multi-Objective Optimization Problems (LSMOPs…”
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Improving an interior-point algorithm for multicommodity flows by quadratic regularizations by Castro, Jordi, Cuesta, Jordi

“…One of the best approaches for some classes of multicommodity flow problems is a specialized interior‐point method that solves the normal equations by a…”
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Distributed Computational Framework for Large-Scale Stochastic Convex Optimization by Rostampour, Vahab, Keviczky, Tamás

“… Due to the large number of required scenarios to approximate the stochasticity of these problems, the stochastic optimization involves formulating a large-scale scenario program, which is in…”
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Large-Scale Optimization-Based Non-negative Computational Framework for Diffusion Equations: Parallel Implementation and Performance Studies by Chang, J., Karra, S., Nakshatrala, K. B.

“… principles and the non-negative constraint for anisotropic diffusion equations. Recently, optimization-based methodologies that satisfy maximum principles and the non…”
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An efficient computational model for large-scale structures based on improved hippopotamus optimization and time-domain inversion by Li, Siyuan, Li, Jing, Chen, Jianyun, Xu, Qiang, Guo, Jiahui, Cao, Xiangyu, Liu, Pengfei

“… To address these issues, this study proposes an efficient computational model (hereafter termed the equivalent model…”
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Large-scale optimization-based non-negative computational framework for diffusion equations: Parallel implementation and performance studies by Chang, Justin, Karra, Satish, Nakshatrala, Kalyana B.

“… principles and the non-negative constraint for anisotropic diffusion equations. Recently, optimization-based methodologies that satisfy maximum principles and the non…”
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Constraint adjustment and computational resource allocation strategies for decomposition-based large-scale optimization of ship cabin structures by Qiangjun LUO, Jun LIU, Puyu JIANG, Yuansheng CHENG

“…ObjectiveTo enhance the application effectiveness of the decomposition-based optimization method in the large-scale optimization design of ship cabin structures, a constraint progressive relaxation…”
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The Use of Machine Learning and AI to Improve Computational Performance in Large-Scale Optimization and Time Series Applications by Ye, Mingsong

“… areas.My first essay surveys recent research on the use of ML/AI techniques to improve computational performance in large-scale combinatorial optimization (CO) problems…”
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Parallel subgradient algorithm with block dual decomposition for large-scale optimization by Zheng, Yuchen, Xie, Yujia, Lee, Ilbin, Dehghanian, Amin, Serban, Nicoleta

“… This paper studies computational approaches for solving large-scale optimization problems using a Lagrangian dual reformulation, solved by parallel sub-gradient methods…”
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Large scale structural optimization: Computational methods and optimization algorithms by Papadrakakis, M., Lagaros, N. D., Tsompanakis, Y., Plevris, V.

“…The objective of this paper is to investigate the efficiency of various optimization methods based on mathematical programming and evolutionary algorithms for solving structural optimization problems…”
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Entropy-Based Fuzzy TOPSIS Method for Investment Decision Optimization of Large-Scale Projects by Cao, Junli, Xu, Fangfang

“… To this end, the authors of this paper have proposed an entropy-based fuzzy TOPSIS synthesis method to assist in the decision-making optimization of large-scale project investment…”
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An efficient computational method for large scale surgery scheduling problems with chance constraints by Noorizadegan, Mahdi, Seifi, Abbas

“…We propose an efficient solution method based on a decomposition of set-partitioning formulation of an integrated surgery planning and scheduling problem with…”
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Inertial accelerated stochastic mirror descent for large-scale generalized tensor CP decomposition: Inertial accelerated stochastic mirror descent for large-scale by Liu, Zehui, Wang, Qingsong, Cui, Chunfeng, Xia, Yong

“…The majority of classic tensor CP decomposition models are designed for squared loss, utilizing Euclidean distance as a local proximal term. However, the…”
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Computational Approach to large Scale Process Optimization through Pinch Analysis by Al-Azri, Nasser, Al-Kind, Mahmoud

“… This paper discusses a programmable approach to the design of mass and heat exchange networks that can be used easily for large scale engineering processes…”
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Behavior of crossover operators in NSGA-III for large-scale optimization problems by Yi, Jiao-Hong, Xing, Li-Ning, Wang, Gai-Ge, Dong, Junyu, Vasilakos, Athanasios V., Alavi, Amir H., Wang, Ling

“… This drawback has resulted in difficulties in the deployment of MOEAs for multi-objective, large-scale optimization problems…”
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Dynamic Return Scenario Generation Approach for Large-Scale Portfolio Optimisation Framework: Dynamic Return Scenario Generation Approach for Large-Scale by Neděla, David, Ortobelli Lozza, Sergio, Tichý, Tomáš

“… Since the portfolio selection problem is large-scale, we apply the multifactor model with a parametric regression and a nonparametric regression approaches to reduce the complexity of the problem…”
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