In order to overcome the slow convergence speed, poor global search ability and difficult
designing rotation angle of quantum-inspired evolutionary algorithm (QEA), an improved …

Quantum-inspired evolutionary algorithms, one of the three main research areas related to
the complex interaction between quantum computing and evolutionary algorithms, are …

This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …

Abstract The Big Bang–Big Crunch (BB–BC) algorithm is a new optimization method that is
based on one of the theories of the evolution of the universe namely the Big Bang and Big …

Abstract Social Evolution (SE) algorithm (Pavithr, 2014 [10]) is inspired by human
interactions and their bias. Generally, human bias influences with whom individuals interact …

Data mining, the extraction of hidden predictive large amounts of data and picking out the
relevant information from large databases, is a powerful new technology with great potential …

The 0–1 knapsack problem is one of the classic NP-hard problems. It is an open issue in
discrete optimization problems, which plays an important role in the real applications …

Abstract Quantum Inspired Evolutionary Algorithms (QIEAs) are Evolutionary Algorithms
which use concepts and principles of quantum computing. The 0/1 knapsack problem (KP) is …

Scalable video coding (SVC), together with adaptive modulation and coding (AMC), can
improve wireless multicast streaming video by jointly performing radio resource allocation …

Artificial immune system (AIS) mimicks the superior properties of biological immune system
and provides an effective method in intelligent computing and intelligent system designing …