Search - evolutionary algorithms

Search - evolutionary algorithms - List

[JSP/Java] wpcA DL : 0: 利用JAVA实现的利用进化算法对人口增长进行仿真的源码-The use of JAVA implementation of the use of evolutionary algorithms for simulation of population growth in the source
Date : 2025-12-28 Size : 35kb User : sdsd
[JSP/Java] Othello DL : 0: 使用java编写的GUI的黑白棋游戏，搜索算法采用经典的博弈树，并在此基础上做了大量优化，我的评估函数采用了Simon M. Lucas 和 Thomas P. Runarsson 在其合作发表的 Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation 中通过对比即时差分学习（TDL，Temporal Difference Learning）和协同进化（CEL，Co-Evolution）对于计算黑白棋的估值函数时得到的一个最佳 WPC，估值函数同时包括行动力的计算。于此同时，对于计算可行位置，我采用了基于查表的方法。对于开局，我使用了 Kyung-Joong Kim 和 Sung-Bae Cho 的 Evolutionary Othello Players Boosted by Opening Knowledge 使用的 99 种 well-defined 的开局表。总体来说，AI智能很强，默认等级一般人是下不过它的。-GUI using java prepared Riversi games, search algorithms using classical game tree, and on this basis have done a lot of optimization, the evaluation function I used Simon M. Lucas and Thomas P. Runarsson published in its Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation in the difference by comparing the real-time learning (TDL, Temporal Difference Learning) and co-evolution (CEL, Co-Evolution) Smileys for the calculation of the valuation function to be one of the best of the WPC, the valuation function at the same time including the calculation of mobility. At the same time, a viable location for the calculation, I used the method based on the look-up table. For start, I used the Kyung-Joong Kim and Sung-Bae Cho s Evolutionary Othello Players Boosted by Opening Knowledge use of 99 kinds of well-defined start of the table. Generally speaking, AI very smart, the default level, however most people are under it.
Date : 2025-12-28 Size : 3.32mb User : da
[JSP/Java] SymbolicRegression DL : 0: 遗传编程遗传编程,或称基因编程/GP ，是一种从生物演化过程得到灵感的自动化生成和选择计算机程序来完成用户定义的任务的技术。从理论上讲，人类用遗传编程只需要告诉计算机"需要完成什么"，而不用告诉它"如何去完成",最终可能实现真正意义上的人工智能：自动化的发明机器。 -In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. Therefore it is a machine learning technique used to optimize a population of computer programs according to a fitness landscape determined by a program s ability to perform a given computational task.
Date : 2025-12-28 Size : 12kb User : leon
[JSP/Java] Java--particle-swarm-algorithm DL : 0: java程序实现基本粒子群算法，本程序适应于演化算法的初学者，简单易懂，清晰明了。-Java program to achieve the particle swarm algorithm。This procedure to adapt to evolutionary algorithms for beginners
Date : 2025-12-28 Size : 1kb User : MrChen
[JSP/Java] RankBasedSelection DL : 0: rank based selection evolutionary algorithms
Date : 2025-12-28 Size : 1kb User : invisibleid
[JSP/Java] genetic DL : 0: 本代码是用java语言编写的简单遗传算法，对于研究进化算法的朋友很有帮助-The code is simple genetic algorithm using java language, the study of evolutionary algorithms helpful friend
Date : 2025-12-28 Size : 6kb User : 李煜
[JSP/Java] DE，JADE源代码（matlab） DL : 1: DE算法作为一种新的进化算法被广泛关注，它的改进算法层出不穷，但最经典的莫过于JADE(DE algorithm has been widely concerned as a new evolutionary algorithm. Its improved algorithms emerge in an endless stream, but the most classic is JADE.)
Date : 2025-12-28 Size : 2kb User : 1qaz1qaz1