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Animal Migration Optimization algorithm is stimulated by intelligent conduct of animal while migrating from one place to other place in search of food and secure habitat. This algorithm simulate the behavior of animal that how they shift from existing location to fresh location and how a number of animal depart from the group and other connect with the group. There are mainly two phases namely migration...
In this paper, an implementation of vantage point local search procedure for the Bees Algorithm (BA) in combinatorial domains is presented. In its basic version, the BA employs a local search combined with random search for both continuous and combinatorial domains. In this paper, a more robust local searching strategy namely, vantage point procedure is exploited along with random search to deal with...
Swarm intelligence metaheuristics (SIM) are a special kind of population-based algorithms, inspired by a collective and social behavior of some species. SIM have become mostly common used for multi-objective optimization problems (MOPs). However, almost all of them are designed for unconstrained optimization problems. In this work, we intend to present a new design to handle constraints with SIM to...
Nature-inspired computing algorithms (NICs in short) inherit a certain length of history tracing back to Genetic Algorithm and Evolutionary Computing in the 50’s. Since February 2008 by the birth of Firefly Algorithm, NICs started to receive lots of attentions from researchers around the global. Variants and even new species of NIC algorithms boomed like sprouts after rain. While it may be disputable...
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