Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

Harri's Hawk Optimization (HHO) algorithm manifests as a new meta-heuristic algorithm in
literature. When we look at studies that have used with this algorithm, we can see that its …

Slime mould algorithm (SMA) is a novel metaheuristic algorithm with good performance for
optimization problems, but it may encounter premature or low accuracy in complex …

Abstract The Whale Optimization Algorithm (WOA) is one of the recent meta-heuristic
algorithms. WOA has advantages such as an exploration mechanism that leads towards the …

Optimal design and control of industrially important chemical processes rely on dynamic
optimization. However, because of the highly constrained, nonlinear, and sometimes …

Teaching-Learning-based Optimization is an optimization technique which does not require
any algorithm-specific parameters and is popular for its less computational cost and high …

A resilient plant location model is proposed in this research and has been evaluated for a
case problem. The model considers three major indicators of network resilience, viz. node …

Accurate medical disease diagnosis is considered to be an important classification problem.
The main goal of the classification process is to determine the class to which a certain …

Harmony Search (HS) and Teaching-Learning-Based Optimization (TLBO) as new swarm
intelligent optimization algorithms have received much attention in recent years. Both of …