1 - 10 of 12 Chapters
[Up to now, intelligent optimization algorithm has been developed for nearly 40 years. It is one of the main research directions in the field of algorithm and artificial intelligence. No matter for complex continuous problems or discrete NP-hard combinatorial optimizations, people nowadays is...
[Due to its good versatility and independence, intelligent optimization algorithm has largely shortened the time of decision-making in large-scale optimization problems of manufacture. However, lower searching time often conflicts with the searching accuracy in most cases.]
[Since genetic algorithm (GA) presented decades ago, large amount of intelligent optimization algorithms and their improvements and mixtures have been putting forward one after another.]
[Algorithm improvement and hybridization are two important branches in the development of intelligent optimization algorithm.]
[Today, different kinds of hardware for computing are more and more powerful, in accordance with large scaled complex computing tasks. From multi-core computer to clusters, various parallel architectures are developed for computing acceleration. In terms of the long time iteration and population...
[In this chapter, GA-BHTR (genetic algorithm maintained by using binary heap and transitive reduction)  for addressing partner selection problem (PSP) in a virtual enterprise  is introduced. Based on ordinary initialization, an improved binary heap strategy is configured before it with...
[In this chapter, CLPS-GA (A Case Library and Pareto Solution-based improved Genetic Algorithm) [Appl Soft Comput 11(3):3056–3065, 2004] for addressing Energy-aware Cloud Service Scheduling (ECSS) in cloud manufacturing is introduced.]
[The arrival of submicron era has created a huge difference on VLSI (very large scale integration): delay on interconnects has far exceeded that on gates so the total delay for a sink can no longer be simply assessed by the length of weighted edges which makes its routing more complicated than...
[In this chapter, the idea of combining SCOS and OACR into one-time decision in one console is presented, named Dual Scheduling of Cloud Services and Computing Resources (DS-CSCR) . For addressing large-scale DS-CSCR problem, Ranking Chaos Optimization (RCO) is configured. With the...
[In 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.]
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