Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

As path planning is an NP-hard problem it can be solved by multi-objective algorithms. In
this article, we propose a multi-objective path planning algorithm which consists of three …

With the modernization of power grids, the network optimal utilization is essential to ensure
that voltage profile at each bus is maintained within an acceptable range, voltage stability of …

Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …

The grasshopper optimization algorithm is one of the recently population-based optimization
techniques inspired by the behaviours of grasshoppers in nature. It is an efficient …

Metaheuristics provide the means to approximately solve complex optimisation problems
when exact optimisers cannot be utilised. This led to an explosion in the number of novel …

This article presents a literature review to identify the current knowledge of supply chains 4.0
from the sustainability perspective. Reviewed papers were classified in terms of objectives …

Metaheuristic algorithms solve optimisation problems by identifying the best combination
among a set of variables to enhance a function. Within metaheuristics, the main purpose of …

Swarm based optimization algorithms are a collection of intelligent techniques in the field of
Artificial Intelligence (AI) were developed for simulating the intelligent behavior of animals …