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Titlebook: Bio-inspired Computing – Theories and Applications; 11th International C Maoguo Gong,Linqiang Pan,Gexiang Zhang Conference proceedings 2016

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楼主: 誓约
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Generalized Project Gradient Algorithm for Solving Constrained Minimax Problemsn with the aid idea of generalized gradient project technique, a new algorithm with Armjio non-exact linear search is presented and its global convergence is obtained under arbitrary initial point condition.
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A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problemsry computing to solve permutation-based COPs. A real adjacency matrix-coded differential evolutionary algorithm (RAMDE) is proposed to solve traveling salesman problem (TSP): a classic COP. Considering TSP structure, a swarm of real adjacency matrices is adopted to represent individuals within popul
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1865-0929 on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi‘an, China, in October 2016..The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neu
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https://doi.org/10.1007/978-1-349-18432-3ys a multi-parent crossover operator to generate the offspring solutions, which are used to further improve the quality of Pareto approximation set. Experimental results on 10 benchmark instances demonstrate the efficacy of our proposed algorithm compared with the original multi-objective optimization algorithms.
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Marina Cano,Rosa García-Periago salesman problem (TSP): a classic COP. Considering TSP structure, a swarm of real adjacency matrices is adopted to represent individuals within population and arithmetical operators of DE execute in form of real matrices. Experimental results show that the proposed real adjacency matrix-coding mechanism is promising to extend DE for COPs.
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An Improved Heuristic Algorithm for UCAV Path Planningons will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be investigated, and the effectiveness and the advantages of the models and algorithms will be validated.
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