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Algorithms for Knapsack Problems
Abstract Discrete optimization problems (DOPs) arise in various applications such as planning, scheduling, computer aided design, robotics, game playing and constraint directed reasoning. Often, a DOP is formulated in terms of nding a (minimum cost) solution path in a graph from an initial node to a goal node and solved by graph/tree search methods such as branch-and-bound and dynamic programming.
Download Free PDF View PDFLecture Notes in Computer Science
Download Free PDF View PDFThis paper is devoted to the study of a resource-constrained scheduling problem, the Process Move Programming problem, which arises in relation to the operability of certain high availability real-time distributed systems. Informally, this problem consists, starting from an arbitrary initial distri- bution of processes on the processors of a distributed system, in nding the least disruptive sequence of operations (non-impacting
Download Free PDF View PDFEuropean Journal of Operational Research
Download Free PDF View PDFScheduling problem in multiprocessor, parallel and distributed systems are placed in NP-hard problems arena. These scheduling problems are employed in different important applications such as information processing, whether forecasting, image processing, database systems, process control, economics, operation research, and other areas. The data for these applications should be disseminated on different processors.
Download Free PDF View PDFSIAM Journal on Computing
Download Free PDF View PDFStudies in Computational Intelligence
Download Free PDF View PDFStudies In Computational Intelligence
Download Free PDF View PDFRecent Advances in Evolutionary Computation for …
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