An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP)-Reference-Cited by-同舟云学术

An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP)

Published:2008-06 Issue:1 Volume:200 Page:167-177
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Chaharsooghi S.K.,Meimand Kermani Amir H.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference25 articles.

1. An overview of evolutionary algorithms in multi-objective optimization;Fonseca;Evolutionary Computation,1995

2. A new efficient encoding mode of genetic algorithms for the generalized plant allocation problem;Hou;Journal of Information Science and Engineering,2004

3. An MCDM approach to portfolio optimization;Ehrgott;European Journal of Operational Research,2004

4. Allocation of effort resource among competing activities;Luss;Operations Research,1975

5. Optimal testing-resource allocation with genetic algorithm for modular software systems;Dai;Journal of Systems and Software,2003

Cited by 81 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective Ant Colony Optimization: Review;Archives of Computational Methods in Engineering;2024-09-10

2. Information acquisition optimizer: a new efficient algorithm for solving numerical and constrained engineering optimization problems;The Journal of Supercomputing;2024-08-14

3. Improved Whale Optimization Algorithm for Maritime Autonomous Surface Ships Using Three Objectives Path Planning Based on Meteorological Data;Journal of Marine Science and Engineering;2024-08-03

4. A survey on applications of reinforcement learning in spatial resource allocation;Computational Urban Science;2024-06-07

5. A novel hexagonal grid map model and regenerated heuristic factor based strategy for intelligent manufacturing system’s AGV path planning problem solving;Computers & Industrial Engineering;2024-06