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IBAT_algorithm_01
- Improved bat algorithm(IBA) pn continous optimization problems by Selim Yilmaz 改进蝙蝠算法：1.增加权重系数 2.自适应调整频率 3.达到尝试次数后，解质量没有提高，则随机飞行 -Improved bat algorithm(IBA) pn continous optimization problems
bat_algorithm
- 改进的蝙蝠算法的MATLAB程序，内含测试函数，具有很高的测试精度-Improved algorithm bat
煤矿节能减排多目标优化研究
- 针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the obje
Abat_algorithm
- 粒子群算法改进的自适应蝙蝠算法,具有很好的收敛速度和收敛精度(Improved adaptive bat algorithm based on particle swarm optimization has good convergence speed and convergence accuracy.)
BAsphere
- 一种结合PSO粒子群改进蝙蝠算法，用sphere对其在不同参数设置下运行50次，计算最优值、最差值、平均值、方差进行对比(A combination of PSO particle swarm optimization bats algorithm, with the sphere in the different parameters set to run 50 times, calculate the optimal value, the worst value, the average,
FPA
- 基于变异策略的改进型花朵授粉算法，里边集成了粒子群算法、蝙蝠算法以及定向变异策略，进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)