graph coloring

Graph Coloring problem ( GCP) is an NP hard problem.

图着色问题（GCP）是NP完全问题。

In summary, this thesis makes the following contributions: ( 1) Proposes permutation graph coloring algorithm for scratchpad memory allocation.

本文的主要工作和创新概述如下：（1）提出了基于置换图着色的便笺存储器分配算法。

The graph coloring problem ( GCP) is a widely studied combinatorial optimization problem.

图的着色问题是一个被广泛研究的组合优化问题。

Greedy algorithm is a simple approximative method in graph coloring.

贪心算法用于图的染色问题是一种简单的近似方法。

So, we present group genetic algorithms ( GGA) to solve the graph coloring problem.

因此提出利用分组遗传算法的不定长分组编码方式来彻底解决编码冗余问题。

The graph coloring problem is a well-known NP-complete problem.

图着色问题是著名的NP - 完全问题.

A Graph Coloring Algorithm for Optimization of Course Examination Arrange Problem

图着色算法解决考试时间安排问题的优化

Ochoa conducted a fitness landscapes analysis on a hyper-heuristic search space by using graph coloring heuristics for timetabling.

Ochoa在用图染色算法求解课程表问题时，对超启发式算法空间进行了适应度地貌分析。