搜索资源列表
0-1beibao--QGA
- 基于量子遗传算法的0-1背包问题matlab-Matlab genetic algorithm based on quantum 0-1 knapsack problem
NP-hard-problem
- matlab模拟退火算法，处理背包问题，相比较与遗传算法模拟退火原理简单，编译容易-matlab simulated annealing algorithm to handle the knapsack problem, compared with the genetic simulated annealing algorithm is simple, easy to compile
modelCenter
- 粒子群算法和基于ModelCenter求解背包问题的对比研究,包括了matlab版的粒子群算法，ModelCenter程序，以及自己的报告 -Particle swarm optimization algorithm and a comparative study based on ModelCenter knapsack problem, including the matlab version of the particle swarm algorithm, ModelCenter pr
beibaoPSO
- 基于MATLAB的pso算法解决背包问题-Pso algorithm based on MATLAB to solve knapsack problem
q9
- 贪婪算法 经典背包问题 matlab源代码 自附数值 -Greedy algorithm is the classical knapsack problem matlab source code the attached value
bp
- 背包问题_遗传算法解决,matlab例程，数学建模常用算法-Genetic algorithm to solve knapsack problem _, matlab routines, mathematical modeling algorithms
GA
- matlab代码遗传算法解决背包问题，0-1整数规划问题-Genetic algorithm to solve knapsack problem, 01 integer programming problem
GA0-1beibao
- Matlab 代码，用遗传算法解决01背包问题-Matlab code, using genetic algorithms to solve knapsack problem 01
0-1beibaowenti
- 应用禁忌搜索算法解决0-1背包问题，可以快速得到最优结果，用matlab实现-Application of tabu search algorithm to solve 0-1 knapsack problem, you can quickly get the best results, using matlab realize
optimization
- 最优化问题的数学解析，主要讲解背包问题，最优化，最短路径等优化模型，一数学建模的方法去理解最优化问题，课后有matlab的练习以帮助理解-Optimization of mathematical analysis, mainly on the knapsack problem, optimization, etc. shortest path optimization model, a mathematical modeling approach to understand the optimi
0-1knapsack-problem
- 这是一个简单的0-1背包问题，采用matlab编程，使用模拟退火算法求解，结果精确快速，并可以应用到很多其他问题-This is a simple 0-1 knapsack problem, using matlab programming, simulated annealing algorithm, accurate results quickly, and can be applied to many other problems
liangziyichuan
- 量子遗传算法解决0-1背包问题的MATLAB代码，亲测好用-Quantum genetic algorithm to solve 0-1 knapsack problem MATLAB code, useful pro-test
beibaowenti
- 简单背包问题的程序，使用matlab进行编程，适合零基础者(A program that can do simple Knapsack problem)