Performance Comparison of Steady State GAs and Generational GAs for Capacitated Vehicle Routing Problems
Author:
Affiliation:
1. The University of Rhode Island, Kingston, United States of America
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583133.3590614
Reference14 articles.
1. Optimizing a GPU-accelerated genetic algorithm for the vehicle routing problem
2. A Multi-GPU Parallel Genetic Algorithm For Large-Scale Vehicle Routing Problems
3. An improved GPU-accelerated heuristic technique applied to the capacitated vehicle routing problem
4. Adaptive Sequential Constructive Crossover Operator in a Genetic Algorithm for Solving the Traveling Salesman Problem
5. Keshav P. Dahal and J.R. McDonald . 1997. Generational and steady state genetic algorithms for generator maintenance scheduling problems . International Conference on Adaptive and Natural Computing Algorithms ( 1997 ). /2453 10454 Keshav P. Dahal and J.R. McDonald. 1997. Generational and steady state genetic algorithms for generator maintenance scheduling problems. International Conference on Adaptive and Natural Computing Algorithms (1997). /2453 10454
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