Titlebook: Recent Innovations in Computing; Proceedings of ICRIC Pradeep Kumar Singh,Yashwant Singh,Paulo J. S. Gon Conference proceedings 2022 The Ed

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书目名称Recent Innovations in Computing读者反馈学科排名

遗产

Maria Stepanova,Oleg Eremin,Andrey Proletarskynce are not a good choice to assess algorithm performance. In recent literature, a benchmark problem called Travelling Thief Problem (TTP) was proposed to better represent real-world multi-component problems. TTP is a combination of two well-known problems: 0-1 Knapsack Problem (KP) and the Travelli

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Kawaljit Kaur,Vishal Goyal,Kamlesh Dutta held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications..The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of aca

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Sushree Deepa Jena,Jagdeep Kaur,Rajneesh Rani GAs on several optimization functions. Also, since these distributed algorithms only require communication between few closely arranged individuals, they are very suitable for a parallel implementation. We propose a new kind of cGA, called hierarchical cGA (H-cGA), where the population structure is

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Gurdeep Singh,Vishal Goyal,Lalit Goyal active research topic in the past years. The advantage of having an automated composition system is that it allows users to create new applications simply by providing the required parameters, instead of having to manually assemble the services. Existing approaches to automated composition rely on

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Balkrishna Harode,Shaligram Prajapat,Shraddha Bhurreitions is an NP-hard problem and different algorithms have been proposed in the literature for generation of tree decompositions of small width. In this paper we propose a novel iterated local search algorithm to find good upper bounds for treewidth of an undirected graph. We propose two heuristics,

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Yash Paul,Sandor Fridlinterconnected systems. We propose an approach to compute obstacle-avoiding Steiner trees by using the hybrid between hierarchical optimization of shortest routes through sequential quadratic programming over constrained two-dimensional convex domains, and the gradient-free stochastic optimization al

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