By Ying Tan, Yuhui Shi, Ben Niu
This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed court cases of the seventh foreign convention on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The one hundred thirty revised normal papers offered have been rigorously reviewed and chosen from 231 submissions. The papers are prepared in 22 cohesive sections protecting significant issues of swarm intelligence and comparable parts resembling pattern and versions of swarm intelligence learn; novel swarm-based optimization algorithms; swarming behaviour; a few swarm intelligence algorithms and their purposes; hybrid seek optimization; particle swarm optimization; PSO purposes; ant colony optimization; mind hurricane optimization; fireworks algorithms; multi-objective optimization; large-scale worldwide optimization; biometrics; scheduling and making plans; computer studying tools; clustering set of rules; type; photo type and encryption; facts mining; sensor networks and social networks; neural networks; swarm intelligence in administration determination making and operations study; robotic keep watch over; swarm robotics; clever power and communications structures; and clever and interactive and tutoring platforms.
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Additional resources for Advances in Swarm Intelligence: 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I
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We use the more accurate term “eﬀect” rather than the term “change” because sometimes social inﬂuence and shaping need to operate to maintain the status quo. If agent A is attempting to inﬂuence agent B by changing B’s behaviour, agent C can attempt to counteract agent A’s inﬂuence by inﬂuencing B to maintain its behaviour. Therefore, inﬂuence does not necessarily require a change to occur. In a strict mathematical sense, social inﬂuence would change the parameters of a model, while social shaping would alter the constraint system.
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