利用一种免疫进化策略算法来求解二次布局问题。
This paper USES an immune evolution strategy to solve quadratic assignment problems.
进化策略算法是一种模拟自然界生物进化过程的全局优化方法。
Evolution strategies as global optimization search methods, are computing models simulating the evolutionary mechanisms of nature.
提出一种基于进化策略算法的人工神经网络法对电力变压器故障进行诊断。
An evolutionary strategy algorithm based on neural network to diagnose power transformer faults is proposed.
从仿真的例子可以看出，圆填充的进化策略算法是行之有效的，这为求解圆填充的半径函数提供了另一种算法。
It can be seen from simulate problems that the evolutionary algorithm ise? Cient and feasible in finding the radii of circle packings, which provides another circle packing algorithm.
为了进一步提高编码质量并能快速编码，提出了一种新的基于进化策略的自适应运动估计算法。
Based on evolution strategies (ESs) a novel adaptive motion estimation search algorithm is presented in order to improve the encoder quality.
因此用进化策略、差分演化算法、泛函网络来研究数值计算，有较高的理论价值和实际意义。
So, researching numerical computing by Evolution Strategy, Differential Evolution Algorithm and Functional Networks have higher theory value and practical significance.
提出了基于协同进化遗传算法的自动谈判算法，模拟了有限期轮流出价谈判协议中的策略学习机制。
This paper proposes an automatic negotiation algorithm based on co-evolutionary algorithm, and simulates the strategy learning mechanism in the finite horizon alternating offer negotiation protocol.
在分析导致进化规划算法早熟原因的基础上，提出了一种基于遗忘策略的双群进化规划算法。
Based on the analysis of the premature convergence of traditional evolutionary programming, a forgetting strategy based bi-subgroup evolutionary programming (FSBEP) algorithm is proposed.
通过在遗传算法中引入精英保留的进化策略，保证算法的收敛性，改善优化结果。
The elitist strategy was introduced into GA to improve the convergence and optimization results.
提出一种基于经典进化算法和单点变异算法的混合策略进化算法SPCEP。
In this paper, we propose an improved evolutionary programming using a mixed strategy based on Gaussion mutation and single-point mutation, which is named SPCEP.
本文作者还结合记忆策略、差异进化算法和粒子群优化算法提出记忆进化算法(MCOEA)。
Constrained optimization evolutionary algorithm based on memory, which integrates particle swarm optimization (PSO) with differential evolution (DE), named MCOEA, is proposed.
种群并行进化策略、变异率自适应调整、与启发式算法相结合等措施提高了遗传算法收敛到最优解的成功率。
In order to increase the algorithm's capacity of global convergence, some strategies such as adaptive probability of mutation, calculating the degree of similarity, niche technology bas…
种群并行进化策略、变异率自适应调整、与启发式算法相结合等措施提高了遗传算法收敛到最优解的成功率。
In order to increase the algorithm's capacity of global convergence, some strategies such as adaptive probability of mutation, calculating the degree of similarity, niche technology bas…
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