Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents three new hybrid ant colony optimization algorithms that are extended from the   ACO R         ACO    R           developed by Socha and Dorigo for solving mixed discrete–continuous constrained optimization problems. The first two hybrids, labeled   ACO R         ACO    R          -HJ and   ACO R         ACO    R          -DE, differs in philosophy with the former integrating   ACO R         ACO    R           with the effective Hooke and Jeeves local search method and the latter a cooperative hybrid beten   ACO R         ACO    R           and differentia evolution. The third hybrid, labeled   ACO R         ACO    R          -DE-HJ, is the second cooperative hybrid enhanced with the Hooke and Jeeves local search. All three algorithms incorporate a method to handle mixed discrete–continuous variables and the Deb’s parameterless penalty method for handling constraints. Fourteen problems selected from various domains re used for testing the performance of both algorithms. It was shod that all three algorithms greatly outperform the original   ACO R         ACO    R           in finding the exact or near global optima. An investigation was also carried out to determine the relative performance of applying local search with a fixed probability or varying probability.
['T. Warren Liao', 'R. J. Kuo', 'J.T.L. Hu']
I am writing a research paper on a idea Hybrid ant colony optimization algorithms for mixed discrete–continuous optimization problems
[{"from": "human", "value": "I am writing a research paper on a idea Hybrid ant colony optimization algorithms for mixed discrete\u2013continuous optimization problems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents three new hybrid ant colony optimization algorithms that are extended from the   ACO R         ACO    R           developed by Socha and Dorigo for solving mixed discrete\u2013continuous constrained optimization problems. The first two hybrids, labeled   ACO R         ACO    R          -HJ and   ACO R         ACO    R          -DE, differs in philosophy with the former integrating   ACO R         ACO    R           with the effective Hooke and Jeeves local search method and the latter a cooperative hybrid beten   ACO R         ACO    R           and differentia evolution. The third hybrid, labeled   ACO R         ACO    R          -DE-HJ, is the second cooperative hybrid enhanced with the Hooke and Jeeves local search. All three algorithms incorporate a method to handle mixed discrete\u2013continuous variables and the Deb\u2019s parameterless penalty method for handling constraints. Fourteen problems selected from various domains re used for testing the performance of both algorithms. It was shod that all three algorithms greatly outperform the original   ACO R         ACO    R           in finding the exact or near global optima. An investigation was also carried out to determine the relative performance of applying local search with a fixed probability or varying probability."}]