- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Krill Herd (KH) algorithm is a class of nature-inspired algorithm, which simulates the herding behavior of krill individuals. It has been successfully utilized to tackle many optimization problems in different domains and found to be very efficient. As a result, the studies has expanded significantly in the last 3 years. This paper presents the extensive (not exhaustive) review of KH algorithm in the area of applications, modifications, and hybridizations across these fields. The description of how KH algorithm was used in the approaches for solving these kinds of problems and further research directions are also discussed.
8. Discussion and conclusion
This section summarizes the review of the studies on KH algorithm as given in Tables 1–3 where the publications related to the KH algorithm in terms of various areas of application, modification and hybridization to different formulations of combinatorial optimization problems are studied. Based on these tables, it can be seen that, the growth of this algorithm is on the increasing, despite the fact that its proposition is about three years. In accordance to the reviewed articles, it can be observed that the burk of the study on this algorithm focused on algorithmic applications and modifications to several area of discipline, yet there is still much more to do in this direction. Further studies of this algorithm in terms of its adaptation to other domain, self-adaptation of control parameters and theoretical studies needs to be investigated in the nearest future. Literature have shown that no much works have been carried out on theoretical aspect of the KH algorithm in general, it would be interesting to perform a theoretical study of the run-time and convergence properties ofthis algorithmas well asfitness landscapes and its dynamics nature. The design of parameter-less KH algorithmwhere there will benoparameters to be tuned by theuser and population structured of the KH algorithm are another aspect theoretical research area that worth investigating. Finally, forces on krill are overwhelming in nature, therefore, effects of other environmental factors such as water/ocean speed,tides and turbulence, etc., which may often larger than the speed of individual krill in the KH algorithm needs further investigation to improve the search process of the original KH algorithm.