Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Bat algorithm is a novel bio-inspired stochastic optimisation algorithm. However, due to the
limited exploration and exploitation capabilities, the performance is not well when dealing …

In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

Pattern recognition is the task of choosing the pertinent and descriptive features that best
describes the target concept during feature selection (FS). Choosing such descriptive …

In the realm of the pathological test, pathologists diagnose diseases viewing specimen on
pathological slides based on the size, shape, texture, colour, and darkness of cells. There is …

This paper proposed one improved Bat algorithm (BA) by incorporating one novel dynamic
inertia weight and proposed self-adaptive strategies over algorithm's parameters. Chaotic …

Bat algorithm (BA) is a new metaheuristic optimisation algorithm, which has already proved
its supreme performance on many optimisation fields. However, it is possible to increase its …

Abstract Flower Pollination Algorithm (FPA) is a well-known swarm intelligence optimization
algorithm, which has shown an effective performance by solving many optimization …

Image enhancement can be formulated as an optimization problem where one
parameterized transformation function is used for enhancement purpose. The proper …

Proper contrast enhancement of colour images of retinal fundus is important to detect the
eye diseases and its severity like in the case of diabetic retinopathy, as in a retinal fundus …