A quantum chaos cloning multi-objective evolutionary algorithm was proposed herein based on chaos search ergodicity, quantum computing efficiency and clonal selection theory of antibodies in artificial immune system. The qubits encoded initial population is used in the new algorithm, Chaos quantum rotation gates are introduced to update individuals, crowding distance is used to keep solution po...

In recent years, quantum computing has gained immense popularity with the production of real computers. Researchers have developed quantum-inspired evolutionary algorithms (QIEAs) to solve combinatorial optimization problems and obtained successful results. As a special case QIEAs, real-coded algorithm (RCQEA) is used in high-dimensional complex problems. this study, novel mechanism rotation ga...

Clustering is the process of dividing a set of input data into a number of subgroups. The members of each subgroup are similar to each other but different from members of other subgroups. The genetic algorithm has enjoyed many applications in clustering data. One of these applications is the clustering of images. The problem with the earlier methods used in clustering images was in selecting in...

Clustering is the process of dividing a set of input data into a number of subgroups. The members of each subgroup are similar to each other but different from members of other subgroups. The genetic algorithm has enjoyed many applications in clustering data. One of these applications is the clustering of images. The problem with the earlier methods used in clustering images was in selecting in...

One significant feature of artificial immune systems is their ability to adapt to continuously changing environments, dynamically learning the fluid patterns of ‘self’ and predicting new patterns of ‘non-self’. This paper introduces and investigates the behaviour of dynamiCS, a dynamic clonal selection algorithm, designed to have such properties of self-adaptation. The effects of three importan...

In order to improve the problem of low oxygen supply efficiency during aerobic composting and prolong maturity, a genetic algorithm was used optimize initial weights thresholds standard BP neural network obtain optimal parameters, then clonal selection mutation operator in duplicate operator. A CGA-BP based on an aeration prediction model constructed, predicted by ferment compost accelerate pro...