Computational Intelligence

Proposed by Karaboga in 2005

ABC is developed based on inspecting the behaviors of real bees on finding nectar and sharing the information of food sources to the bees in the hive.

Solving multidimensional and multimodal optimisation problems.

The HS can be conceptualized from a musical performance process involving searching for a best harmony.

Musical performances seek a fantastic harmony determined by aesthetic estimation, as the optimization techniques seek a best state (global optimum) determined by objective function value.

Aesthetic estimation is performed by the set of the sounds played by musical ensemble, as objective function value is evaluated by the set of the values produced by adjusted variables.

The better aesthetic sounds can be improved by constant practice, as the minimization/maximization of the objective function can mostly be improved by repeating iteration.

Water Cycle Algorithm (WCA) as an optimization method is introduced by Eskandar et al. (2012). The fundamental concepts and ideas which underlie the WCA is inspired by nature and based on the observation of water cycle process and how rivers and streams flow to the sea in the real world.

A comparative study has been carried out to show the effectiveness of the WCA over other well-known optimizers in terms of computational effort (measures as number of function evaluations) and function value (accuracy) for truss structures, unconstrained, constrained engineering design problems, and multi-objective (unconstrained, constrained) optimization problems.

The definition of Jaya is victory in Sanskrit

In the Jaya algorithm, the applied strategy always tries to become victorious by reaching the best solution and hence it is named Jaya, and it is reported as a simple and applicable optimization approach in the literature.