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Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Yuhui Shi Conference proceedings 2017 Springer International

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發(fā)表于 2025-3-21 18:02:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances in Swarm Intelligence
期刊簡(jiǎn)稱(chēng)8th International Co
影響因子2023Ying Tan,Hideyuki Takagi,Yuhui Shi
視頻videohttp://file.papertrans.cn/150/149940/149940.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Yuhui Shi Conference proceedings 2017 Springer International
影響因子The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017.?.The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:.Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm.?.Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.?.
Pindex Conference proceedings 2017
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Systolic Automata and P Systemsdy of this interaction Lotka-Volterra models have been used. This paper proposes a formal modelling and verification analysis methodology, which consists in representing the interaction behavior by means of a formula of the first order logic. Then, using the concept of logic implication, and transfo
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Introduction to Computing with Social Trustf agents flock, which is measured by the flock diameter. In this paper, a cohesive force is introduced to potentially reduce the flock diameter. This cohesive force is similar to the repelling force used for collision avoidance. Simulation results show that this cohesive force can reduce or control
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Capturing Trust in Social Web Applicationscuted by humans. One type of human-based EC is distributed human-based EC, in which humans independently manage their solution candidates and share them by direct communication between the humans. It is expected that the EC solves problems in human organizations. However, it is not easy to conduct r
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Trust and Online Reputation Systemsanalytical model of program runtime evaluation is worked out. It is shown that external interruptions are the result of functioning of independent random process, which develops in parallel with algorithm interpretation. For description of interaction of main program, interruption generator and inte
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A Non-reductionist Approach to Trustngineering problems. In this paper, a new variant, namely Teaching-learning-feedback-based Optimization (TLFBO) is proposed. In addition to the two phases in the canonical TLBO, an additional feedback learning phase is employed to further speed up the convergence. The teacher in the previous generat
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