Metaheuristic algorithms have applicability in various fields where it is necessary to solve
optimization problems. It has been a common practice in this field for several years to …

Exact optimization algorithms are not able to provide an appropriate solution in solving
optimization problems with a high-dimensional search space. In these problems, the search …

Crop diseases are a huge threat to food security, yet timely detection is a difficult task due to
the absence of infrastructure in various regions of the world. In agriculture, the detection of …

The past few years have witnessed a growth in size and computational requirements for
training and inference with neural networks. Currently, a common approach to address …

Nature has always been a source of inspiration. Over the last few decades, it has stimulated
many successful algorithms and computational tools for dealing with complex and …

Social group optimization (SGO), a population-based optimization technique is proposed in
this paper. It is inspired from the concept of social behavior of human toward solving a …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Biogeography is the study of the geographical distribution of biological organisms.
Mathematical equations that govern the distribution of organisms were first discovered and …

Simulated annealing is a probabilistic method proposed in Kirkpatrick, Gelett and Vecchi
(1983) and Cerny (1985) for finding the global minimum of a cost function that may possess …

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