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Status: Unchecked ×Keyword: multimodal test functions ×Clear all

2 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems

   Shadravan, Naji and Bardsiri · Engineering Applications of Artificial Intelligence · 2019

   Unchecked2 claims
   Show 2 claims

   1. UncheckedThe Sailfish Optimizer (SFO) is reported to perform very well on test functions that are non-convex, non-separable and scalable.“Moreover, the SFO algorithm shows significantly great results for non-convex, non-separable and scalable test functions.”
   2. UncheckedThe Sailfish Optimizer gave promising results on five real-world optimisation problems, which the authors take to suit constrained problems with unknown search spaces.“Eventually, the promising results on five real world optimization problems indicate that the SFO is applicable for problem solving with constrained and unknown search spaces.”