Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …

The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …

Abstract Though the Butterfly Bptimization Algorithm (BOA) has already proved its
effectiveness as a robust optimization algorithm, it has certain disadvantages. So, a new …

Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …

The symbiotic organisms search (SOS) algorithm was introduced by considering the
relationships among the creatures in a natural ecosystem. Despite the superior efficiency of …

Abstract The conventional Butterfly Optimization Algorithm (BOA) does not appropriately
balance the exploration and exploitation characteristics of an algorithm to solve present-day …

The local optima stagnation is a major issue with all meta-heuristic algorithms. In this paper,
a hybrid slime mould algorithm (SMA) is proposed with the aid of quadratic approximation to …

Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to
partition the given dataset into k pre-defined distinct non-overlapping clusters where each …

The simplicity and effectiveness of a recently proposed metaheuristic, butterfly optimization
algorithm (BOA) have gained huge popularity among research community and are being …

The exposition of any nature-inspired optimization technique relies firmly upon its executed
organized framework. Since the regularly utilized backtracking search algorithm (BSA) is a …