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。
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。
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。
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。
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 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。
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。
A new evolutionary algorithm for solving multi-objective hybrid flow shop scheduling problem(HFSP) which is an important topic in supply chain network optimization is presented.
针对供应链网络优化领域中的混合流水作业调度问题提出了一种新的多目标演化优化算法。
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。
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。
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。
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。
Evolutionary algorithm called evolutionary algorithms is a kind of stochastic optimization methods by simulating natural evolutionary process.
进化算法也称演化算法，是一种模拟自然进化过程的随机优化方法。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
The ADPSO is a global optimization algorithm for direction finding, which takes advantage of the merits of differential evolutionary algorithm and particle swarm algorithm.
利用粒子群算法和差分进化算法的优点，可以获得测向问题的全局最优解。
ALA is a new type of evolutionary algorithm, using which could realize emergent colonization of the global optimization.
人工生命算法(ALA)是一种新兴的演化算法，利用人工生命群体的突现聚类实现全局寻优。
Evolutionary algorithm is one of the most effective algorithms for hard optimization and multi-objective 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、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。
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。
In solving global optimization, immune algorithm is usually weak in local search, while evolutionary diffusion optimization is weak in global search.
在求解全局优化问题时，通常免疫算法、进化扩散算法分别在局部搜索和全局搜索方面表现较弱。
Novel constrained optimization evolutionary algorithm based on self-adaptive good points set (COEAAGP) is proposed to tackle constrained optimization problems (COPs) in this paper.
提出一种用于求解约束优化问题的自适应佳点集进化算法。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
Based on ant colony evolutionary algorithm, a colony algorithm is extended for searching continuous space optimization.
基于蚁群进化算法，蚁群算法连续空间优化搜索扩展。
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