This document provides a comprehensive technical explanation, detailed algorithmic theory, and empirical implementation code in Python for the "Dynamic Traveling Salesperson Problem (TSP) Optimization ...
Computational Intelligence 2026, lab 3: hill climber and genetic algorithm for a max-TSP-like children's circle, an exact profile-aggregated MILP, and profile-aware HC/GA layers - ...
Research project (TIPE) carried out in the French classes préparatoires (CPGE MP/MPI, Lycée Carnot, Dijon), 2025–2026. Author: Romain Lo Bello How can the total processing time of parcels in a factory ...
Cancer cells must balance detoxification of reactive metabolic by-products while preserving redox homeostasis, but how this trade-off is managed remains unclear. The Kelch-like ECH-associated protein ...
本内容遵循CC 4.0 BY-SA版权协议 本文介绍一种面向多旅行商问题(MTSP)的遗传算法(GA)与模拟退火(SA)双算法协同优化方案,聚焦工厂巡检与航空航线两大真实场景。通过双层嵌套编码解决 ...
本文系统介绍广义旅行商问题(GTSP)的Python启发式求解方案,涵盖蚁群、遗传、模拟退火、禁忌搜索和最近邻五类算法。 内容包括统一输入规范(points.csv、groups.csv、distance_matrix.npy)、参数敏感度实测、收敛性对比,以及五大典型实现雷区的定位与修复方法。