In this paper, an evolutionary optimization method is proposed to minimaze the weight of truss structure in terms of nodal coordinates and element cross sectional areas.
提出了一种渐进优化方法，通过分离设计变量，分别采用渐进节点移动法和满应力法优化桁架结构的形状和尺寸。
Evolutionary computation is an effective method to solve optimization, search and learning problems, inspired by genetics and nature evolution.
进化计算是基于遗传学和自然演化思想的一个解决优化、搜索和学习问题的有效方法。
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。
In this paper, we study a new kind of evolutionary algorithm for global optimization over continuous Spaces, a revision of Differential evolution based on piecewise two-dimensional search.
本文研究了一种求解连续变量空间全局优化的进化算法，基于分片二维搜索的修正微分进化算法。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
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。
Evolutionary Structural optimization (ESO) is a simple and robust numerical method for optimization problems applicable to various types of structures.
渐进结构拓扑优化(eso)是近年来兴起的一种解决各类结构优化问题的数值方法。
Then, a set of optimization criteria and algorithms are set up based on frequency sensitivity and evolutionary structural optimization methods.
而后结合频率灵敏度，基于渐进结构优化方法，建立了一套优化准则和算法。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
Evolutionary algorithm is applied to solve distillation separation sequence optimization synthesis problems that are characteristic of combination explosion.
采用演化算法求解具有组合爆炸特征的精馏分离序列优化综合问题。
In recent years, Evolutionary Algorithm has been greatly used to solve some complex optimization problems and widely applied in the fields of industry and engineering.
近年来，进化算法已被大量应用于求解复杂的优化问题并广泛应用于工业与工程领域。
Optimization algorithm based on the swarm intelligence is a simulated evolutionary method that simulating the behaviors of social insects searching for food and building of nest.
基于群集智能的优化算法是一种仿生自然界动物昆虫觅食、筑巢行为的模拟进化算法。
Particle swarm optimization algorithm is a new and efficient evolutionary computation method.
粒子群优化算法是一种新型、高效的进化计算方法。
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。
A new hybrid method of crossovers is proposed for improving the performance of an evolutionary algorithm for constrained optimization based on hybrid crossovers and intermittent mutation.
为进一步提高基于混合杂交与间歇变异的约束优化演化算法的求解性能，提出了一种新的混合杂交方法。
In order to correct the measuring results of moisture from microwave resonator, the IA-BP optimization algorithm based evolutionary neural network model is presented.
为了对微波谐振腔含水率测量结果进行校正，提出一种基于IA - BP优化算法的进化神经网络模型。
Evolutionary algorithm is a type of adaptive artificial intelligent techniques that simulate evolutionary process and mechanism to solve optimization problems.
进化算法是一类模拟生物进化过程和机制求解优化问题的自适应人工智能技术。
Network encoding is the key of application evolutionary computation to the optimization of multi-stage logistic network.
运用演化计算求解多阶段物流网络优化问题的关键是其编码问题。
In order to improve the efficiency of evolutionary algorithm and reduce the optimization time, a multi-objective model management framework was proposed.
为了提高演化算法的效率，减少优化时间，提出一种多目标模型管理框架。
The proposed method transfers the real factorization problem into a numeric optimization problem, which is solved by an evolutionary algorithm based on hybrid crossovers and intermittent mutation.
该法先将实因式分解问题转化为数值优化问题，再用基于混合杂交与间歇变异的演化算法求解该优化问题。
Particle Swarm optimization (PSO) is an evolutionary computation technique and an optimization tool based on iteration.
粒子群优化算法(PSO)是一种进化计算技术，是一种基于迭代的优化工具。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
As an intelligent search and optimization method, Evolutionary Algorithm (EA) has a good future with a very variety of applications.
进化算法作为一种模拟生物优胜劣汰过程的智能搜索和优化算法有着非常广泛的应用前景。
Evolutionary algorithms are one of the effective algorithms for hard optimization, global optimization and multiobjective optimization problems, which are attached more and more importance to.
进化算法作为处理复杂函数最优化、全局最优化和多目标最优化问题的一种有效算法，正日益受到人们的重视。
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。
This paper is to study the use of evolutionary algorithms to solve multi-objective optimization problem.
本文主要是研究用进化算法来解决多目标优化问题。
This paper is to study the use of evolutionary algorithms to solve multi-objective optimization problem.
本文主要是研究用进化算法来解决多目标优化问题。
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