Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi

過份艷麗

污穢

Recapitulations and Contributionsmetric approach to quantitatively assessing current research hotspots and trends on Swarm Intelligence, using the related literature in the Science Citation Index (SCI) database from 2000 to 2015. Articles referring to Swarm Intelligence were concentrated on the analysis of scientific outputs, distr

貪婪性

Recapitulations and Contributionsuelists. The duel is to determine the winner and loser. The loser learns from the winner, while the winner try their new skill or technique that may improve their fighting capabilities. A few duelists with highest fighting capabilities are called as champion. The champion train a new duelist such as

BRUNT

Cynthia L. Radnitz,Lana Tierskystraint of limited computational budget. For this, we propose a local-surrogate based multi-objective memetic algorithm to solve the optimization problem coupled with uncertainty quantification method to calculate the robustness values. The robust optimization framework was applied to two aerodynami

航海太平洋

Kymberley K. Bennett,Jennifer L. Boothbye idea is to let the solver engine to autonomously replace its solving strategies by more promising ones when poor performances are identified. The replacement is controlled by a choice function, which takes decisions based on information collected during solving time. However, the design of choice

Paleontology

共同時代

Indent

Theories of Coping with Chronic Stressagation queue. Three efficient implementations of AC5TC algorithm have been proposed in [.]. One of these algorithms (called AC5TC-Tr) has an optimal time complexity theoretically, but its space complexity is inefficient because of the dynamic data structure. This paper proposes a novel algorithm ba