shannany0606 / Genetic_Algorithm_Improvement
遗传算法改进项目(the Improvement of Genetic Algorithm)&&智能计算作业
☆13Updated last year
Alternatives and similar repositories for Genetic_Algorithm_Improvement:
Users that are interested in Genetic_Algorithm_Improvement are comparing it to the libraries listed below
- 模拟退火算法改进项目(the Improvement of Simulated Annealing Algorithm)&&“智能计算”期末报告☆13Updated last year
- 智能优化算法(模拟退火、禁忌搜索、蚁群算法、遗传算法、粒子群算法)解决TSP问题和RCPSP问题☆20Updated last year
- 基于粒子群的VRP(车辆配送路径规划)问题建模求解☆43Updated 2 years ago
- 部分关于车辆路径规划问题(Vehicle Routing Problem, VRP)的智能优化算法☆63Updated 3 years ago
- 这是一次最优化算法的作业,使用模拟退火算法(Simulated Annealing, SA)解决置换车间调度问题和非置换流水车间问题☆12Updated last year
- Term Project. Use Simulated Annealing Algorithm for the basic Job Shop Scheduling Problem (模拟退火解决车间调度问题)☆18Updated 3 years ago
- 遗传算法解决枢纽选址问题☆21Updated 5 years ago
- 南邮大创项目,旨在用超启发式算法解决CVRP问题☆26Updated 4 years ago
- 分别用改进的粒子群优化算法和改进的差分进化算法求解柔性作业车间调度问题☆146Updated 4 years ago
- Using improved PSO(Particle Swarm Optimization) algorithm resolve VRPTW question.☆54Updated 4 years ago
- 多目标优化遗传算法☆52Updated 6 years ago
- pytorch implementation of DQN/DDQN/Dueling_networ/D3QN for job shop scheudling problem☆67Updated 3 years ago
- 一个疫情背景下应急物资配送算法:用改进后的多目标粒子群优化(MOPSO)算法解决带有风险矩阵的多辆车配送旅行商问题(TSP)☆78Updated 2 years ago
- COR paper: A Deep Multi-Agent Reinforcement Learning Approach to Solve Dynamic Job Shop Scheduling Problem☆61Updated last week
- 使用python调用Gurobi解决CVRP问题,包含问题描述与python调用Gurobi源代码.Use python and gurobi to slove CVRP.Welcome any questions~☆26Updated 5 months ago
- 指针网络+强化学习 解决旅行商(TSP)问题☆86Updated 3 years ago
- 遗传算法、模拟退火算法求解TSP问题☆55Updated 7 years ago
- ☆12Updated last year
- 应用ALNS算法解决VRPPD问题☆40Updated 4 years ago
- 运钞车路径规划(蚁群算法VRPSD)☆12Updated 5 years ago
- This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop☆67Updated 3 years ago
- 基于遗传算法的车辆充电调度系统。遗传算法 ,非支配排序算法、多目标优化、车辆充电调度、MATLAB☆48Updated 4 years ago
- the mixed-integer programming model for flexible job shop scheduling problem is solved by gurobi☆47Updated 2 years ago
- This is source code of paper Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II.☆21Updated last year
- 本仓库解决了支持无人机和车辆协同下的物资配送服务资源调度方法,为了最小化快递公司的成本和顾客的等待时间,通过前后端技术将所用算法应用到无人机和车辆协同的物资配送服务调度系统,并结合真实的交通拓扑进行仿真和量化对比,优化快递公司的运输成本和顾客的等待时间。☆17Updated last year
- ☆38Updated last year
- The public benchmark instances of flexible job shop scheduling problem☆63Updated 2 years ago
- 使用四种基本启发式算法(模拟退火、禁忌搜索、遗传算法与蚁群算法)求解广义旅行商(广义TSP/GTSP)问题。☆61Updated 2 years ago
- this repo has use MOEA/D and NSGA-Ⅱ to solve multi-objective FJSP problem☆57Updated 2 years ago
- flexible job shop static and dynamic scheduling based on SPT dispatch rules☆31Updated 3 years ago