Herpetologist
发表于 2025-3-26 21:53:08
Improvement and Hybridization of Intelligent Optimization AlgorithmAlgorithm improvement and hybridization are two important branches in the development of intelligent optimization algorithm.
milligram
发表于 2025-3-27 01:09:17
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EXALT
发表于 2025-3-27 07:25:42
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Introduction
发表于 2025-3-27 13:03:27
Computing Resource Allocation with PEADGAIn this chapter, for solving optimal allocation of computing resources (OACR) problem in cloud manufacturing (CMfg) [.], serial three-layer operation configuration and parallel configuration are both applied.
稀释前
发表于 2025-3-27 13:56:54
Future Trends and ChallengesIn this chapter, we give some future trends and challenges of dynamic configuration not only for intelligent optimization algorithm, but also for other algorithms used in the whole life cycle of manufacturing.
神刊
发表于 2025-3-27 21:50:52
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gratify
发表于 2025-3-28 01:34:42
Dynamic Representations of Complex Numberscomputer to clusters, various parallel architectures are developed for computing acceleration. In terms of the long time iteration and population based mechanism of intelligent optimization algorithm, parallelization is attainable and imperative in many complex optimization.
松驰
发表于 2025-3-28 02:39:47
https://doi.org/10.1007/978-1-4614-3489-4P) in a virtual enterprise [.] is introduced. Based on ordinary initialization, an improved binary heap strategy is configured before it with uniform population input and output to realize initialization improvement. It is designed to simplify the directed acrylic graph that represents the precedenc
conceal
发表于 2025-3-28 10:19:25
https://doi.org/10.1007/978-1-4471-4996-5omputing Resources (DS-CSCR) [.]. For addressing large-scale DS-CSCR problem, Ranking Chaos Optimization (RCO) is configured. With the consideration of large-scale irregular solution spaces, new adaptive chaos operator is designed to traverse wider spaces within a short time. Besides, dynamic heuris
淘气
发表于 2025-3-28 13:11:13
https://doi.org/10.1007/978-93-86279-30-9 shop scheduling problem (JSSP). Firstly, a permutation-based encoding scheme is presented, which can make the solution always feasible in iteration. After that, simulated annealing operator, mutation operator and a new reverse order operator are implemented on FPGA and configured for updating solut