Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Over past few decades, families of algorithms based on the intelligent group behaviors of social creatures like ants, birds, fishes, and bacteria have been extensively studied and applied for computer-aided optimization. Recently there has been a surge of interest in developing algorithms for search, optimization, and communication by simulating different aspects of the social life of a very ll-known creature: the honey bee. Several articles reporting the success of the heuristics based on swarming, mating, and foraging behaviors of the honey bees are being published on a regular basis.   provide a brief but comprehensive survey of the entire horizon of research so far undertaken on the algorithms inspired by the honey bees. Starting with the biological perspectives and motivations,  outline the major bees-inspired algorithms, their prospects in the respective problem domains and their similarities and dissimilarities with the other swarm intelligence algorithms.  also provide an account of the engineering applications of these algorithms. Finally  identify some open research issues and promising application areas for the bees-inspired computing techniques.
['Anguluri Rajasekhar', 'Nandar Lynn', 'Swagatam Das', 'Ponnuthurai N. Suganthan']
I am writing a research paper on a idea Computing with the collective intelligence of honey bees – A survey
[{"from": "human", "value": "I am writing a research paper on a idea Computing with the collective intelligence of honey bees \u2013 A survey"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Over past few decades, families of algorithms based on the intelligent group behaviors of social creatures like ants, birds, fishes, and bacteria have been extensively studied and applied for computer-aided optimization. Recently there has been a surge of interest in developing algorithms for search, optimization, and communication by simulating different aspects of the social life of a very ll-known creature: the honey bee. Several articles reporting the success of the heuristics based on swarming, mating, and foraging behaviors of the honey bees are being published on a regular basis.   provide a brief but comprehensive survey of the entire horizon of research so far undertaken on the algorithms inspired by the honey bees. Starting with the biological perspectives and motivations,  outline the major bees-inspired algorithms, their prospects in the respective problem domains and their similarities and dissimilarities with the other swarm intelligence algorithms.  also provide an account of the engineering applications of these algorithms. Finally  identify some open research issues and promising application areas for the bees-inspired computing techniques."}]