Search - evolutionary algorithms

Search - evolutionary algorithms - List

[Algorithm] GEP DL : 0: 演化算法求运算树表达的最大值，通过后序遍历求得适应度函数值，通过演化算法优化最优解-Evolutionary algorithms seek to express the maximum value of the tree operations, through the postorder fitness function values obtained by evolutionary algorithm to optimize the optimal solution
Date : 2025-12-28 Size : 1.32mb User : rat
[Algorithm] 1111 DL : 0: 量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上，对它们进行比较，阐明了二者的不同特点-Quantum-inspired evolutionary algorithms and immune algorithms are a powerful algorithm to solve optimization problems. After analyzing the characteristics of the quantum evolutionary algorithm and immune algorithm search mechanism based on the comparison of them to clarify the different characteristics of the two
Date : 2025-12-28 Size : 806kb User : daijiang
[Algorithm] 12345 DL : 0: 分析量子进化算法和免疫算子的特点,提出一种分级变异的量子进化算法,用于求解多目标优化问题-Analysis of quantum-inspired evolutionary algorithms and immune operator characteristics, presents a hierarchical variation of the quantum-inspired evolutionary algorithm for solving multi-objective optimization problems
Date : 2025-12-28 Size : 380kb User : daijiang
[Algorithm] fpa_demo DL : 0: Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a new algorithm, namely, flower pollination algorithm, inspired by the pollina- tion process of flowers. We first use ten test functions to validate the new algorithm, and compare its performance with genetic algorithms and particle swarm optimization. Our simulation results show the flower algorithm is more efficient than both GA and PSO. We also use the flower algorithm to solve a nonlinear design benchmark, which shows the convergence rate is almost exponential.
Date : 2025-12-28 Size : 3kb User : John
[Algorithm] GA_De_Jongs.py DL : 0: Standard Genetic Algorithm in Python. With this code you are able to solve optimization problems by using evolutionary algorithms
Date : 2025-12-28 Size : 1kb User : kavad
[Algorithm] 9781849961288-c1-Simple-Evolutionary-Algorithms.r DL : 0: Simple Evolutionary Algorithms from a Chapter of book published by Springer
Date : 2025-12-28 Size : 256kb User : hami
[Algorithm] Defence_Presentation DL : 0: multi-objective dynamic optimization using evolutionary algorithms
Date : 2025-12-28 Size : 1.73mb User : houxiaohei
[Algorithm] genetic-algorithm DL : 0: In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 3kb User : uja
[Algorithm] jmetal4.5.src DL : 1: jmetal优化算法工具包，整合了许多常见进化算法，用于数值优化-jmetal optimization toolkit which integrates multiple evolutionary algorithms for numerical optimization
Date : 2025-12-28 Size : 25.67mb User : John