This paper considers a stochastic parallel machine scheduling problem in a just-in-time
manufacturing context, in which its processing time can be described by a gamma or log …

The genetic algorithm (GA) is an optimization and search technique based on the principles
of genetics and natural selection. A GA allows a population composed of many individuals to …

In classification tasks, feature selection (FS) can reduce the data dimensionality and may
also improve classification accuracy, both of which are commonly treated as the two …

Economic dispatch (ED) problems often exhibit non-linear, non-convex characteristics due
to the valve point effects. Further, various constraints and factors, such as prohibited …

The performance of most evolutionary metaheuristic algorithms relies on various operators.
The crossover operator is a standard based on population-based algorithms, which is …

Compare with vector, tensor can reserve structural information and tensor model algorithm
can exploit such information. Unfortunately, tensor contain many redundant information …

Cryptography is a fundamental technique for securing information. In this paper, we propose
a Genetic Algorithm (GA) based symmetric key cryptosystem for encryption and decryption …

Cardiac Output (CO) has traditionally been difficult, dangerous, and expensive to obtain.
Surrogate measures such as pulse rate and blood pressure have therefore been used to …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

ABSTRACT Intrusion Detection Systems are systems built to detect the unwanted attacks.
Genetic Algorithm is a method that mimics the process of natural evolution; it was used to …