A new Meta heuristic approach called ”Randomized gravitational emulation search algorithm (RGES)” for solving large size set covering problems has been designed. This algorithm is found upon introducing randomization concept along with the two of the four primary parameters ’velocity’ and ’gravity’ in physics. A new heuristic operator is introduced in the domain of RGES to maintain feasibility ...

One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular...

This paper provides a novel meta-heuristic optimization algorithm. The behaviors of flying squirrels in the nature are the main inspiration of this research. These behaviors include flying from tree to tree and walking on the ground or on a tree branch to find food. They also contact each other with chirp or squeak. This algorithm is named flying squirrel optimizer (FSO). Two main theories of m...

This paper presents a comprehensive survey of the meta-heuristic optimization algorithms on text clustering applications and highlights its main procedures. These Artificial Intelligence (AI) are recognized as promising swarm intelligence methods due to their successful ability solve machine learning problems, especially problems. reviews all relevant literature meta-heuristic-based application...

A new meta-heuristic algorithm to find the minimum height for twodimensional strip rectangular packing problem is presented. This algorithm is mainly based on the heuristic recursive strategy and simulated annealing algorithm. The computational results on a class of benchmark problems have shown that this algorithm not only finds shorter height than known meta-heuristic but also runs in shorter...