并在此基础上提出了一种基于物理规划的多目标协同优化算法。
By introducing the physical programming method, a multiobjective CO algorithm was given.
在对比分析各种排样优化技术方案的基础上，本文提出了GASA分布式协同优化算法模型。
Brought forward the GASA distributed cooperating model based on the fully and deeply analyse of all kinds of intelligence optimal approaches.
基于合作型协同进化模型，提出了一种新型的多目标优化进化算法。
A new multi-objective optimization evolutionary algorithm based on the model of cooperative co-evolution is proposed in this paper.
针对桁架拓扑优化问题提出桁架拓扑和尺寸优化的协同演化算法。
A co evolution algorithm used to solve topology and size optimization of trusses is proposed.
将贝叶斯优化算法(BOA)引入到协同攻击优化领域中。
The Bayesian Optimization Algorithm (BOA) was introduced to tackle the coordination attack problem.
通过粒子群最优化算法解决多供应商参与协同产品开发时的任务指派问题。
The Particle Swarm Optimization (PSO) algorithm was used to deal with task assignment problem in multi-suppliers' participation in collaborative product development.
针对协同微粒群优化存在的停滞现象，提出了一种新的基于粒子空间扩展的协同微粒群优化算法。
Aiming at the stagnation exists in the cooperative particle swarm optimization, presents a new kind of the cooperative particle swarm optimization algorithm based on particles spatial extension.
设计了一种采用基于编号的整数编码方案的简单通用协同进化算法，实现了对重构模型的优化求解。
A simple universal coevolutionary algorithm based on pointer-based integer coding schema is implemented to find the optimal solution of the reconfiguration model.
蚂蚁算法是近年来出现的仿生优化方法，该算法所具有的正反馈性、协同性及隐合并行性，使之成为一种具有广阔应用前景的优化算法。
Ant Algorithm is a bionic-optimization method, which has a capacious application foreground because of its properties of positive feeding-back, coordinating and implicating parallelism.
针对协同粒子群优化算法存在的停滞现象，提出了一种改进的协同粒子群优化算法。
Aiming at the stagnation problem of the cooperative particle swarm optimization, this paper presents an improved cooperative particle swarm optimization.
为了解决基本粒子群算法不易跳出局部最优的问题，提出了一种协同粒子群优化算法。
To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.
为了解决基本粒子群算法不易跳出局部最优的问题，提出了一种协同粒子群优化算法。
To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.
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