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Titlebook: Intelligent and Evolutionary Systems; The 20th Asia Pacifi George Leu,Hemant Kumar Singh,Saber Elsayed Conference proceedings 2017 The Edit

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樓主: 變成小松鼠
31#
發(fā)表于 2025-3-26 22:57:06 | 只看該作者
32#
發(fā)表于 2025-3-27 02:27:17 | 只看該作者
Analysis of Parameter-Less Population Pyramid on the Local Distribution of Inferior Individuals,fect of DII analysis on balance between genetic operators. The performance of P3-DII was confirmed according to the computational experiments which were carried out taking several combinational problems as examples.
33#
發(fā)表于 2025-3-27 08:32:44 | 只看該作者
34#
發(fā)表于 2025-3-27 13:25:57 | 只看該作者
Generating Hub-Spoke Network for Public Transportation: Comparison Between Genetic Algorithm and Cun of the hub node and transportation line network simultaneously. In this framework, this paper reports the comparison result between the genetic algorithm and the cuckoo search algorithm for the hub location problem.
35#
發(fā)表于 2025-3-27 15:15:59 | 只看該作者
36#
發(fā)表于 2025-3-27 20:15:30 | 只看該作者
An Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing,aircraft. The proposed algorithm is compared with the traditional GA. Results indicate that the proposed approach obtains a near optimal solution compared to the traditional GA based algorithm which does not consider TAS constraints.
37#
發(fā)表于 2025-3-27 23:22:59 | 只看該作者
Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization,the path planning. In the dynamic environment, the numerical results show that the Simultaneous Replanning Vectorized Particle Swarm Optimization (SRVPSO) algorithm is effective and also efficient for multi-agent systems.
38#
發(fā)表于 2025-3-28 05:51:38 | 只看該作者
Dynamic Job Shop Scheduling Under Uncertainty Using Genetic Programming,onential moving average of the deviations of the processing times in the dispatching rules. We test the performance of the proposed approach under different uncertain scenarios. Our results show that the proposed method performs significantly better for a wide range of uncertain scenarios.
39#
發(fā)表于 2025-3-28 10:16:19 | 只看該作者
Semi-automatic Picture Book Generation Based on Story Model and Agent-Based Simulation,e propose a novel semi-automatic picture book generation method based on story model and agent-based simulation. The computational experiments are carried out to confirm the effectiveness of the proposed method.
40#
發(fā)表于 2025-3-28 13:45:45 | 只看該作者
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