Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search
Computers & Mathematics with Applications
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The present study examines a hunting search based optimum design algorithm for cellular beams. Hunting search is a numerical optimization method inspired by group hunting of animals. The proposed algorithm selects the optimum UB section to be used in the production of a cellular beam subjected to a general loading, the optimum holes diameter and number of these holes in the beam. Furthermore, this selection is also carried out such that the design limitations are satisfied and the weight of the cellular beam is the minimum. A design example is considered to demonstrate the application of the optimum design algorithm developed.