1.
Multi-objective Parallel Game Design Basing on Multi-species Evolution Algorithm
基于多种群进化算法的多目标并行博弈设计
2.
Multi-species cooperative particle swarm optimization algorithm
改进的多种群协同进化微粒群优化算法
3.
Solving TSP through Multi-population Co-evolutionary Memetic Algorithm
通过多种群协进化Memetic算法求解TSP
4.
The Research of Improved Particle Swarm Optimization Based on Multi-population
基于多种群的改进微粒群优化算法研究
5.
Multiple optimization strategies for improving hybrid discrete particle swarm
改进混合离散粒子群的多种优化策略算法
6.
Chaotic Migration Based Multi-population Differential Evolution Algorithm
基于混沌迁移策略的多种群差分进化算法
7.
Novel multi-swarm cooperative particle swarm optimization
新型多群体协同进化粒子群优化算法
8.
Research on ANN evolutionary design method based on populations evolution niche genetic algorithm
基于多种群进化小生境遗传算法的神经网络进化设计方法研究
9.
Multi-population Binary ant Colony Algorithm with Concrete Behaviors for Multi-objective Optimization Problem
多目标优化的多种群混合行为二元蚁群算法
10.
PID controller parameters optimization based on improved ant colony algorithm
一种用于优化PID参数的改进蚁群算法
11.
Improved Particle Swarm Optimization Algorithm and Its Simulation
一种改进的粒子群优化算法及其仿真
12.
A Image Restoration Algorithm Based on Improved Particle Swarm Optimization
一种改进粒子群优化的图像恢复算法
13.
Improvement on Population Initialization of Genetic Algorithm Solution for VRP
遗传算法求解VRP的种群初始化改进
14.
Coevolution Discrete Particle Swarm Optimization and the Application in the Production Scheduling of Rubber Vulcanization Workshop
多种群协同进化的微粒群优化算法及其在橡胶硫化车间生产调度中的应用
15.
New multiple ant optimization routing algorithm for wireless sensor network
无线传感器网络多种群蚁群优化路由算法
16.
Ant Colony Optimization (ACO)is an algorithmic approach, inspired by the foraging behavior of the real ants, which can be applied to many problems.
蚁群优化算法是一种新型的智能仿生类进化算法,已在许多领域获得了广泛的成功应用.
17.
Adaptive Evolutionary Particle Swarm Algorithm for Multi-Objective Optimisation
基于自适应进化粒子群算法的多目标优化方法
18.
Binary Differential Evolution Algorithm with Dual Subpopulations for Transmission Network Expansion Planning
输电网扩展规划的双种群二进制微分进化算法