A recently invented algorithm known as the grasshopper optimization algorithm (GOA) was employed to optimize diesel engine performance and emission operated with ternary fuel (ethanol-biodiesel-diesel) blends. Using the regression modelling over these experimental results; the mathematical equations between ...
EM do not apply for all the optimization problems. Remember! EM always converg...Algorithm --贪心算法 一、概念 原理:一种启发式策略,在每个决策点作出在当时看来最佳的选择,即总是遵循某种规则,做出局部最优的选择,以推导出全局最优解(局部最优解->全局最优解) 求解最优化问题的两个关键要素:贪心...
In order to optimize and demonstrate the superiority of the proposed control method, Grasshopper Optimization Algorithm (GOA) is proposed as a suitable solution. To further improve the performance of the under study system, the use of the Redox Flow Battery (RFB) energy storage unit has also ...
Firstly, the good point set is applied to initial population and uniform population distribution.Then the linearlyweightis improved to a nonlinear weight toenhance the exploration and exploitation capabilities of thegrasshopper optimization algorithm.At the same time, the cauchy mutation is added to the...
In order to identify new malicious or anomalous attacks, this study developed an opposition self-adaptive grasshopper optimization algorithm based on mutation and perceptive concept. Moreover, reinforcement learning is utilized in support vector machine, named gain actor critic with support vector machine...
摘要: The Grasshopper Optimisation Algorithm inspired by grasshopper swarms is proposed.The GOA algorithm is benchmarked on challenging test functions.The results on the unimodal functions show the super...关键词: Algorithm Benchmark Constrained optimization Heuristic algorithm Metaheuristics Optimization ...
The grasshopper optimization algorithm was binarized using S- and V-shaped transformation functions for feature selection. The constructed classifiers have been tested on datasets from the KEEL repository. This is a preview of subscription content, log in via an institution to check access. ...
遗传算法(Genetic Algorithm, GA):一种模拟自然选择和遗传机制的优化算法,适用于全局搜索。 粒子群优化算法(Particle Swarm Optimization, PSO):一种基于群体智能的优化算法,通过粒子间的协作和竞争来搜索最优解。 差分进化算法(Differential Evolution, DE):一种基于种群差异的进化算法,适用于解决连续变量优化问题。 模...
The first one is the New Binary version of the Grasshopper Optimization Algorithm (NBGOA) which can be used with any binary combinatorial optimization problem, and the other work is to use NBGOA as the swarm-based algorithm for feature selection problem. The rest of the paper is organized as...
A comprehensive study of chaos embedded bridging mechanisms and crossover operators for grasshopper optimisation algorithmGrasshopper optimisation algorithmCrossoverCongress on Evolutionary Computation (CEC)Chaos theoryIn recent years, the trend of embedding chaos in the optimization algorithms has grown ...