From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

Abstract Internet-of-Things (IoT) has gained quick popularity with the evolution of
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …

Owing to the strict restrictions imposed by the Marine Pollution Protocol and the rapid
development of renewable energy, the use of solar generation and energy storage systems …

The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

Abstract According to the “No Free Lunch (NFL)” theorem, there is no single optimization
algorithm to solve every problem effectively and efficiently. Different algorithms possess …

Consumption of traditional fossil energy has promoted rapid economic development and
caused effects such as climate warming and environmental degradation. In order to solve …

Many areas in power systems require solving one or more nonlinear optimization problems.
While analytical methods might suffer from slow convergence and the curse of …

Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review Page 1
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review …

Particle swarm optimization (PSO) has been shown to yield good performance for solving
various optimization problems. However, it tends to suffer from premature convergence …