FAFSA: Fast Artificial Fish Swarm Algorithm
Magdi Z. Rashad, Mohamed A. Abu Elsoud, Mohamed A. El-dosuky · 2013
Most optimization problems in real life applications are often highly nonlinear. Only global optimization algorithms should be used to obtain optimal solutions. This paper introduces a new nature-inspired metaheuristic optimization algorithm, called Fast Artificial Fish Swarm Algorithm (FAFSA) for optimization and job scheduling. The basic idea of AFSA is to tradition of the behaviors of fish such as preying, swarming, and following with local fish of individual optimization of global reach.