The Refined Bacterial Foraging Optimization (RBFA) algorithm is biologically inspired computation technique which is inspired on foraging behavior of E-coli bacteria and its improved version of basic Bacterial Foraging Algorithm (BFA). This paper illustrated how a proposed algorithm different from other social behavior algorithm for solving optimization problems especially in multi-objective ca...

The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of rays. MRFO a newly developed swarm-based approach that emulates supportive performed by rays in search food. efficiently resolves several difficulties various domains due to its ability provide an equilibrium between global and local searches during procedure, resulting nearly optimal resul...

This paper proposes a novel method to improve the efficiency of a swarm of robots searching in an unknown environment. The approach focuses on the process of feeding and individual coordination characteristics inspired by the foraging behavior in nature. A predatory strategy was used for searching; hence, this hybrid approach integrated a random search technique with a dynamic particle swarm op...