Scatter Search(SS)算法是一种进化算法,最早由Glover于1977年提出,已成功应用于多种优化问题.,Scatter search is an evolutionary method that has been successfully applied to hard optimization problems.

遗传算法是一种模拟自然界生物进化的搜索算法，由于它简单易行，鲁 棒性强，尤其是其不需要专门的领域知识而仅用适应度函数作评价来指导搜 索过程，从而使它的应用范围极为广泛，并且己在众多领域得到了实际应用， 取得了许多令人瞩目的成果，引起广大学者和工程人员的关注。- The genetic algorithm is a kind of searching method which simulates the natural evolution. It is simple and ea

多峰值函数优化中,基本粒子群算法进化后期收敛速度较慢,提出一种具有可控速度因子的改进粒子群算法.-Multimodal function optimization, PSO late evolutionary convergence is slow, with a controllable speed improvements proposed particle swarm optimization factors.

针对标准粒子群算法在进化过程中种群多样性降低而早熟的问题 ,提出一种动态改变惯性权重的自适应粒子群算法.-For PSO population diversity in the evolutionary process and reduce premature problem, a dynamically changing inertia weight adaptive particle swarm optimization.