Then, a wrapper is designed by multi-population adaptive genetic algorithm with support vector machine and naive Bayes classifiers as an objective function to identify the high-risk differential genes. The performance of the proposed approach is evaluated on ten microarray datasets of numerous tumor ...
算法(simplegeneticalgorithm,SGA)初始产生单个种 群进行搜索 [46] ,易过早收敛,当求解到一定范围时会 做大量无效的冗余计算,搜索效率低,容易陷入局部 最优解,对系统的反馈信息利用较少。多种群遗传算 第38卷第4期杨 颖 多种群遗传算法在湿蒸气参量测量中的应用 法(multipopulationgeneticalgorithm,MPGA)是一些 ...
. This can be indicated by a higher value of the average distance measure and the spread of the front. We can further improve the average distance measure of the solutions and the spread of the Pareto front by runninggamultiobjagain with the final population returned in the last run. Here,...
This paper presents a multi-population biased random-key genetic algorithm (BRKGA) for the single container loading problem (3D-CLP) where several rectangular boxes of different sizes are loaded into a single rectangular container. The approach uses a maximal-space representation to manage the free...
most genetic multiobjective optimization methods incorporate some type of Pareto-set filter to avoid losing potential Pareto optimal solutions, which is described as follows (Cheng and Li, 1997). Basically, the algorithm stores two sets of solutions: the current population andthe filter(another set ...
Neural network (NN) has been tentatively combined into multi-objective genetic algorithms (MOGAs) to solve the optimization problems in physics. However, the computationally complex physical evaluations and limited computing resources always cause the unsatisfied size of training set, which further results...
offspring population Q0of size N . Since elitism is introduced by comparing current population with previously found best nondominated solutions, the procedure is different after the initial generation. We first describe thetth generation of the proposed algorithm as shown at the bottom of the page...
Create a MATLAB file calledvectorized_multiobjective.m: function scores = vectorized_multiobjective(pop) popSize = size(pop,1); % Population size numObj = 2; % Number of objectives % initialize scores scores = zeros(popSize, numObj); % Compute first objective scores(:,1) = (pop + 2)...
This paper put forward a calculational method basing on the mathematic model,the calculational method was multi-population genetic algorithm(MPGA). 针对该模型,提出了使用多种群遗传算法(MPGA)的求解方法,即对0-1二值型变量和实型多维变量分别编码构建种群,以实型多维变量为中心,联合0-1二值型变量进行遗传...
4) pseudo-parallel genetic algorithm 伪并行遗传算法 1. The concept of pseudo-parallel genetic algorithm is introduced in carrying out the genetic operations such as selection, crossing and mutation of each sub-group independently. 为了避免常规遗传算法容易出现的“早熟”现象,并提高算法的精度,在无功...