Portfolio optimization has always been a challenging proposition in finance and
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …

This paper presents a review of quantum-inspired population-based metaheuristics.
Quantum-inspired algorithms were born when there were no quantum computers; they …

Firefly algorithm (FA) is a new meta-heuristic which is successfully applied to solve several
optimization problems. However, it suffers from a drawback of easily getting stuck at local …

Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

The early detection of damaged (partially broken) outdoor insulators in primary distribution
systems is of paramount importance for continuous electricity supply and public safety …

In this manuscript, a new quantum computing-based optimization algorithm is proposed to
solve multiple-objective mixed cost-effective emission dispatch (MEED) problem of electrical …

A real-world newspaper distribution problem with recycling policy is tackled in this work. To
meet all the complex restrictions contained in such a problem, it has been modeled as a rich …

Recently, a novel meta-heuristic algorithm known as the marine predators algorithm (MPA)
has been proposed for solving continuous optimization problems. Despite the significant …

In this paper, a binary version of equilibrium optimization (BEO) is proposed for the tackling
0–1 knapsack problem characterized as a discrete problem. Because the standard …