Firefly algorithm is a swarm based metaheuristic algorithm designed for continuous
optimization problems. It works by following better solutions and also with a random search …

Firefly algorithm is one of the well-known swarm-based algorithms which gained popularity
within a short time and has different applications. It is easy to understand and implement …

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 …

The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

Classical optimization algorithms are insufficient in large-scale combinatorial problems and
in nonlinear problems. Hence, heuristic optimization algorithms have been proposed …

Nature-inspired optimization algorithms are simple and effective tools for solving highly non-
linear and multi-modal real-world problems. Nowadays this kind of methods is very attractive …

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 …

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 …

Random walks play an important role in computer science, spreading a wide range of topics
in theory and practice, including networking, distributed systems, and optimization. Levy …

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