Search Results - "Parallel algorithm portfolio"

Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution by Tang, Ke, Liu, Shengcai, Yang, Peng, Yao, Xin

“… A typical way to achieve good generalization is to learn a model from vast data. In the context of heuristic search, such a paradigm could be implemented as configuring the parameters of a parallel algorithm portfolio (PAP…”
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Accelerating Parallel Algorithm Portfolio Construction by Zakrzewski, Grzegorz, Yao, Xin, Mańdziuk, Jacek

“…Parallel Algorithm Portfolio (PAP) is a promising approach to solving computationally hard problems efficiently…”
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Enhanced Evolution of Parallel Algorithm Portfolio for Vehicle Routing Problem via Transfer Optimization by Guo, Tong, Mei, Yi, Zhang, Mengjie, Tang, Ke, Cai, Kaiquan, Du, Wenbo

“…Parallel Algorithm Portfolio (PAP), comprising several component solvers with complementary capabilities, emerges as a cutting-edge computational technique for addressing computationally hard problems…”
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Generative Adversarial Construction of Parallel Portfolios by Liu, Shengcai, Tang, Ke, Yao, Xin

“… This article studies effective construction approaches for the parallel algorithm portfolios that are less affected in these cases…”
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Few-shots Parallel Algorithm Portfolio Construction via Co-evolution by Tang, Ke, Liu, Shengcai, Yang, Peng, Yao, Xin

“… A typical way to achieve good generalization is to learn a model from vast data. In the context of heuristic search, such a paradigm could be implemented as configuring the parameters of a parallel algorithm portfolio (PAP…”
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Evolving Generalizable Parallel Algorithm Portfolios for Binary Optimization Problems via Domain-Agnostic Instance Generation by Wang, Zhiyuan, Liu, Shengcai, Yang, Peng, Tang, Ke

“… Co-evolutionary approaches address this challenge by simultaneously evolving a parallel algorithm portfolio (PAP…”
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Parallel algorithm portfolios with adaptive resource allocation strategy by Parsopoulos, Konstantinos E., Tatsis, Vasileios A., Kotsireas, Ilias S., Pardalos, Panos M.

“…Algorithm portfolios are multi-algorithmic schemes that combine a number of solvers into a joint framework for solving global optimization problems. A crucial…”
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Parallel algorithm portfolios with performance forecasting by Souravlias, D., Kotsireas, I. S., Pardalos, P. M., Parsopoulos, K. E.

“… The predictions are used to allocate computational resources to the algorithms, accordingly. The proposed model is demonstrated on parallel algorithm portfolios consisting…”
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Enhancing Multi-Objective Optimization with Automatic Construction of Parallel Algorithm Portfolios by Ma, Xiasheng, Liu, Shengcai, Hong, Wenjing

“…) dominating all other MOEAs on all possible Multi-Objective Optimization Problems (MOPs). In this work, we advocate using the Parallel Algorithm Portfolio (PAP…”
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Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization by Ma, Xiasheng, Liu, Shengcai, Hong, Wenjing

“…) dominating all other MOEAs on all possible Multi-objective Optimization Problems (MOPs). In this work, we advocate using the Parallel Algorithm Portfolio (PAP…”
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Designing bijective S-boxes using Algorithm Portfolios with limited time budgets by Souravlias, Dimitris, Parsopoulos, Konstantinos E., Meletiou, Gerasimos C.

“…•A new parallel Algorithm Portfolio (AP) with restricted time budget is proposed.•The AP comprises Tabu Search and Simulated Annealing in master/slave model…”
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Efficient Methods to Organize the Parallel Execution of Optimization Algorithms by Shylo, V. P., Chupov, S. V.

“…This article briefly reviews software and hardware means of modern computer engineering that allow to construct efficient systems of parallel computing…”
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Learning and parallelization boost constraint search by Yun, Xi

“… It formulates parallel algorithm portfolio construction as an integer- programming problem, and solves the problem with algorithms that combine case-based reasoning with either…”
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Improving the Quality of Online Search Services: On the Service Multi-selection Problem by Ngoko, Yanik, Cerin, Christophe, Goldman, Alfredo

“…The global objective of this study is to propose solutions for improving the quality of online search services. We consider the special case where the…”
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A multi-objective parameter optimization framework for process-based crop models in data-sparse regions exemplified by AquaCrop-OSPy by Li, Gang, Qin, Xueer, Zhang, Chenglong, Huo, Zailin

“… We conducted a two-objective indicator evaluation optimization model (TOIEOM), which was processed by the parallel algorithm portfolios (PAP…”
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