Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …

High-dimensional optimization presents a novel challenge within the realm of intelligent
computing, necessitating innovative approaches. When tackling high-dimensional spaces …

Transportation problem is one of the most common real life optimization problems seeking to
minimize the total transportation cost while delivering a product from a number of sources to …

Economic data include data of various types and characteristics such as macro-data, meso-
data, and micro-data. The source of economic data can be the data related to economy held …

A time minimization transportation problem deals with the resource efficiency to minimize
time taken by the transport systems to deliver the commodity from sources to destinations. In …

This paper appends three proposed heuristic algorithms, viz. Initialization Algorithm,
Fraction Repair Algorithm and Negative Repair Algorithm, to Particle Swarm Optimization …

With the advancement of technology such as video monitoring, Internet-of-things, cloud, and
machine learning, Industry 4.0 is working continuously to ensure the security of workers. The …

A deep memory bare-bones particle swarm optimization algorithm (DMBBPSO) for single-
objective optimization problems is proposed in this paper. The DMBBPSO is able to perform …

Motivated by the hierarchical structure within transportation systems, this paper explores a
two-phase time minimization transportation problem with restricted flow (2 p− TPF). In this …

In recent years, multi-objective particle swarm optimisation (MOPSO) algorithm has been
paid more attention. One of its indispensable structures is the maintenance and update …