Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
A new evolutionary algorithm based on hybrid crossovers and intermittent mutation for global optimization of complex functions with high dimensions is proposed.
通过混合使用多种杂交算子并辅之以间歇变异，提出了一种求解高维复杂函数全局优化问题的新型演化算法。
Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem.
蚁群算法是基于群体合作的一类仿生算法，适合于解困难的离散组合优化问题。
Immune evolutionary algorithm is a new optimization algorithm inspired by biological immune mechanism based on the deep understanding of the existing evolutionary algorithm.
免疫进化算法是在深入理解现有进化算法的基础上，受生物免疫机制的启发而形成的一种新的优化算法。
It is a real coded evolutionary algorithm.
它是一种实编码进化算法。
Ant Colony algorithm is a novel simulated evolutionary algorithm.
蚁群算法是一种新型的模拟仿生算法。
Several branches of evolutionary algorithm were developed one after another.
各种基于不同进化规则的分支算法层出不穷。
Then a new evolutionary algorithm for this two objective optimization problem is proposed.
然后，对此双目标优化问题提出了一个新的进化算法。
Immune evolutionary algorithm will be used in the process of solving the model parameters.
在模型参数的求解过程中将用到免疫进化算法。
An evolutionary algorithm based on multi-player game theory(EAMG) for the TSP was proposed.
提出了一种基于多人博弈的演化优化方法（EAMG），用于解决旅行商问题（TSP）。
By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
利用免疫进化算法，提出了一种新的模糊控制器优化设计方法。
A new computation model of the evolutionary algorithm applied with grid technology was proposed.
提出了一种将网格技术应用于进化算法的计算模式。
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.
蚁群算法是一种模拟进化算法，该算法具有许多优越的性质。
Hardware random number generator in the FPGA interface is used to accelerate the evolutionary algorithm.
FPGA接口中的硬件随机数发生器实现进化算法的硬件加速。
By combining extant heuristic algorithm and evolutionary algorithm, it can intelligently search relative bigger space.
该算法将演化程序与已知的启发式算法相结合，可对较大的设计空间进行智能化搜索。
An evolutionary algorithm based channel-optimized VQ (COVQ) design algorithm on noisy channel is presented in the paper.
本文提出了一个基于进化算法的信道最优矢量量化器(COVQ)设计算法。
Therefore, evolutionary algorithm can solve successfully large-scale distillation separation sequence synthesis problem.
因此，演化算法能够成功解算大规模精馏分离序列优化综合问题。
And on this basis, an attribute reduction algorithm based on the improved differential evolutionary algorithm was put forward.
并在此基础上提出了基于差分演化算法的属性约简算法。
This paper proposes a new transformer fault diagnostic method using fuzzy neural network based on mind evolutionary algorithm.
本文提出一种基于思维进化算法的模糊神经网络变压器故障诊断方法。
This paper raises an evolutionary algorithm in solving problems of optimal capacitor placement on radial distribution systems.
提出了一种可解决辐射状配电网电容器最优配置问题的遗传算法。
Quantum Inspired Evolutionary Algorithm (QEA) is a type of evolutionary algorithm based on principles of Quantum Computing (QC).
量子衍生进化算法是基于量子计算原理的一种进化算法。
A new multi-objective optimization evolutionary algorithm based on the model of cooperative co-evolution is proposed in this paper.
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 approach based on evolutionary algorithm for inverse problem of parameter identification for water quality model is proposed.
给出了利用演化计算方法求解河流水质多参数反问题的一种新方法。
Univariate marginal distribution algorithm(UMDA)is a new evolutionary algorithm and is an efficient algorithm for complicate problem.
单变量边缘分布算法（UMDA）是一种新的进化算法，是求解复杂问题的一种有效算法。
To improve the global astringency of evolutionary algorithm, an algorithm based on multi-population concurrent evolution is proposed.
为了提高进化算法的全局收敛性，提出了一种多种群同时进化的算法。
Artificial ant algorithm is a novel simulated evolutionary algorithm, also a newly stochastic and intellectual searching optimization.
人工蚁群算法是一种新型的模拟进化算法，也是一种随机型智能搜索寻优算法。
To improve the anti-premature ability and efficiency of evolutionary algorithm, a new algorithm based on multi-population was proposed.
为了提高进化算法的抗早熟性与效率，提出了一种基于多种群的新算法。
The evaluation is the most personal part of an evolutionary algorithm, it is the only part of the library that you must write yourself.
评价函数部分是评价算法中最“个人”的部分，它是库中你必须自己写的一部分。
We will try to find ESS as a solution of MOPs using our game model based co-evolutionary algorithm, which based on coarse-grain parallel model.
使用基于游戏模型的共同进化算法寻找ESS作为多目标问题的解，该算法是一种基于粗粒度并行模型的进化算法。
We will try to find ESS as a solution of MOPs using our game model based co-evolutionary algorithm, which based on coarse-grain parallel model.
使用基于游戏模型的共同进化算法寻找ESS作为多目标问题的解，该算法是一种基于粗粒度并行模型的进化算法。
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