Download Advances in Swarm Intelligence: 7th International by Ying Tan, Yuhui Shi, Li Li PDF

By Ying Tan, Yuhui Shi, Li Li

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed complaints of the seventh foreign convention on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The a hundred thirty revised standard papers offered have been rigorously reviewed and chosen from 231 submissions. The papers are equipped in 22 cohesive sections overlaying significant themes of swarm intelligence and similar parts comparable to pattern and versions of swarm intelligence examine; novel swarm-based optimization algorithms; swarming behaviour; a few swarm intelligence algorithms and their functions; hybrid seek optimization; particle swarm optimization; PSO functions; ant colony optimization; mind hurricane optimization; fireworks algorithms; multi-objective optimization; large-scale international optimization; biometrics; scheduling and making plans; desktop studying tools; clustering set of rules; class; picture type and encryption; facts mining; sensor networks and social networks; neural networks; swarm intelligence in administration choice making and operations study; robotic regulate; swarm robotics; clever strength and communications structures; and clever and interactive and tutoring structures.

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Suppose there are one distribution center, M fixed clients and N dynamic clients. The distribution center locates in ðx1 ; y1 Þ and its delivery cycle is T0. The deadline of its service time is l0. Fixed clients have the service demands in each delivery cycle. But dynamic clients may be served in some delivery cycles according to certain probability. The coordinate of fixed and dynamic clients are respectively expressed by ðx2 ; y2 Þ; ðx3 ; y3 Þ; . ; ðxi ; yi Þ; . ; ðxM þ 1 ; yM þ 1 Þ and ðxM þ 2 ; yM þ 2 Þ; ðxM þ 3 ; yM þ 3 Þ; .

2 Problem Description The scenario and transfer process of OOS planning studied in this paper is shown in Fig. 1. The target spacecraft and the servicing spacecraft run in the predefined orbits respectively. If an OOS request is issued, a suitable Lambert double pulses orbit transfer to the target track would implemented from the servicing spacecraft maneuvers to the target spacecraft immediately to conduct the required OOS operation. Thus the servicing satellite is reusable [6]. Fig. 1. 1 Decision Variables Assuming N servicing spacecrafts on-orbit are deployed, and M different task priority target spacecrafts waiting for service at a given time, according to the characteristics of the planning problem, the decision variables can be defined as follows: ( xnm ¼ 1; assigned n to m 0; otherwise ð1Þ where n ¼ 1; 2; Á Á Á ; N; m ¼ 1; 2; Á Á Á ; M.

Generating robust and flexible job shop schedules using genetic algorithms. IEEE Trans. Evol. Comput. 7, 275–288 (2003) 5. : Multi-objective flexible job-shop scheduling problem in steel tubes production. Syst. -Theory Pract. 29(8), 117–126 (2009) 6. : Multiobjective artificial immune algorithm for flexible job shop scheduling problem. Int. J. Hybrid Inf. Technol. 5, 75–88 (2012) 7. : A genetic algorithm for flexible job shop scheduling with fuzzy processing time. Int. J. Prod. Res. 48, 2995–3013 (2010) 8.

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