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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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41#
發(fā)表于 2025-3-28 16:11:32 | 只看該作者
An Improved Heuristic Algorithm for UCAV Path Planningal model and an improved heuristic algorithm based on Sparse A* Search (SAS) for UCAV path planning problem. In this paper, flight constrained conditions will be considered to meet the flight restrictions and task demands. With three simulations, the impacts of the model on the algorithms will be in
42#
發(fā)表于 2025-3-28 19:58:16 | 只看該作者
An Efficient Benchmark Generator for Dynamic Optimization Problemsark are widely used to test the performance of an evolutionary algorithm. The two benchmarks construct a fitness landscape with a number of peaks that can change heights, widths, and locations. The two benchmarks are simple and easy to understand. However, they exist two major issues: (1) the time c
43#
發(fā)表于 2025-3-29 02:07:51 | 只看該作者
44#
發(fā)表于 2025-3-29 03:05:41 | 只看該作者
45#
發(fā)表于 2025-3-29 10:13:12 | 只看該作者
46#
發(fā)表于 2025-3-29 11:59:04 | 只看該作者
An Improved Search Algorithm About Spam Firewalle during the e-mail filtering. Therefore, how to protect the private data in the process of spam filtering becomes one of the urgent problems to be solved. Combined with two filtering techniques which are based on keyword and blacklist respectively, this paper achieves the goal of sorting and filter
47#
發(fā)表于 2025-3-29 17:30:53 | 只看該作者
48#
發(fā)表于 2025-3-29 20:04:58 | 只看該作者
Study on Hybrid Intelligent Algorithm with Solving Pre-stack AVO Elastic Parameter Inversion Problem genetic algorithm. However, when solving the problem, the traditional genetic algorithm converges speedily and is easily trapped into the problems like local optimum, etc., which leads to unsatisfactory inversion effect. To solve the above problems, this paper introduces simulated annealing algorit
49#
發(fā)表于 2025-3-30 01:52:07 | 只看該作者
A Hybrid Multi-objective Discrete Particle Swarm Optimization Algorithm for Cooperative Air Combat Dweapon target assignment (DWTA). First, based on the threshold of damage probability and time window constraints, a new cooperative air combat DWTA multi-objective optimization model is presented. Second, in order to tackle the DWTA problem, a mixed MODPSO and neighborhood search algorithm is propos
50#
發(fā)表于 2025-3-30 07:15:50 | 只看該作者
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