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

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書目名稱Advances in Swarm Intelligence影響因子(影響力)




書目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度




書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Swarm Intelligence被引頻次




書目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名




書目名稱Advances in Swarm Intelligence年度引用




書目名稱Advances in Swarm Intelligence年度引用學(xué)科排名




書目名稱Advances in Swarm Intelligence讀者反饋




書目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名

流逝

Obstruction

magenta

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

Itinerant

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

最小

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

熒光

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

新義

無可爭辯

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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