This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is
considered as a recent metaheuristic. BHA has been proven to be very efficient in different …

Jaya algorithm is a newly proposed stochastic population-based metaheuristic optimization
algorithm to solve constrained and unconstrained continuous optimization problems. The …

In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization
problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm …

The operation of autonomous underwater vehicles (AUVs) relies on three major motions:
yaw, theta, and depth, each requiring its own set of proportional integral derivative (PID) …

Energy efficiency and environmental issues have been largely neglected in logistics. In a
traditional supply chain, the objective of improving energy efficiency is targeted at the level …

Multiple traveling salesmen problem (MTSP) is not only a generalization of the traveling
salesman problem (TSP), but also more suitable for modeling practical problems in the real …

Tree-Seed algorithm (TSA) is a recently developed nature inspired population-based
iterative search algorithm. TSA is proposed for solving continuous optimization problems by …

Partitional data clustering with K-means algorithm is the dividing of objects into smaller and
disjoint groups that has the most similarity with objects in a group and most dissimilarity from …

With the advance of generating high-dimensional data, feature selection is the most
significant procedure to guarantee selecting the most discriminative subset of features and …

As one suitable optimization method implementing computational intelligence, ant colony
optimization (ACO) can be used to solve the traveling salesman problem (TSP). However …