In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …

This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …

A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

The present study aims to optimize the engineering design and manufacturing problems
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

Real-world optimization problems demand an efficient meta-heuristic algorithm which
maintains the diversity of solutions and properly exploits the search space of the problem to …

In this paper, a methodology has been proposed to decrease the solution time of the joint
energy-reserve market clearing problem under Payment Cost Minimization (PCM) …

Swarm intelligence is one of the most promising area for the researchers in the field of
numerical optimization. Researchers have developed many algorithms by simulating the …

Abstract Sine Cosine Algorithm is a recently developed algorithm based on the
characteristics of sine and cosine trigonometric functions, to solve global optimization …

In this paper, a real coded genetic algorithm named MI-LXPM is proposed for solving integer
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …