Area of computational intelligence is gaining researcher's attention in ongoing trend of
technology and evolution due to their high capability to deliver near-optimal solutions. A new …

Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …

With increasing wind or solar farm and pump storage plant integrations, more and more
large-scale renewable energy integration systems are taking shape gradually, which brings …

Bacterial foraging optimization (BFO) algorithm is a new swarming intelligent method, which
has a satisfactory performance in solving the continuous optimization problem based on the …

A metaheuristic algorithm called Harris hawks optimization (HHO) is gaining its popularity
among its clan and useful for optimization. In this algorithm, the prey gets completely …

In order to overcome the rotational speed oscillation under no-load start-up condition
caused by the 'S'characteristic area of the pump-turbine and the difficulty in improving the …

The recently developed Bacterial Foraging Optimization algorithm (BFO) is a nature-inspired
optimization algorithm based on the foraging behavior of Escherichia coli. Due to its …

One of the most important features of modern production is that the demand for the product
is constantly changing. The problems showing demand variability in certain time periods are …

The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …

This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo
search (CS) for optimization. The main thrust is to decide the step size adaptively from its …