I am pleased to share my recent work here in this page with you. Yes, your guess is correct, it is again a new algorithm, but this time I have developed three algorithms for solving three different types of optimization problems. The main inspiration of the Dragonfly Algorithm (DA) algorithm originates static and dynamic swarming behaviours. These two swarming behaviours are very similar to the two main phases of optimization using meta-heuristics: exploration and exploitation. Dragonflies create sub swarms and fly over different areas in a static swarm, which is the main objective of the exploration phase. In the static swarm, however, dragonflies fly in bigger swarms and along one direction, which is favourable in the exploitation phase.

MODA
....\ALO.pdf
....\DA.pdf
....\GWO.pdf
....\MFO.pdf
....\MOALO.pdf
....\MODA
....\....\Draw_ZDT1.m
....\....\HandleFullArchive.m
....\....\Levy.m
....\....\MODA.m
....\....\RankingProcess.m
....\....\RouletteWheelSelection.m
....\....\UpdateArchive.m
....\....\ZDT1.m
....\....\distance.m
....\....\dominates.m
....\....\initialization.m
....\MODA.rar
....\MOGWO.pdf
....\MVO.pdf
....\SCA.pdf
....\WOA.pdf

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