Abstract The Imperialist Competitive Algorithm (ICA), derived from the field of human social
evolution, is a component of swarm intelligence theory. It was first introduced in 2007 to deal …

In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a
pattern recognition problem. LiAENN is a novel computational neural model of the emotional …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

Science fiction often portrays future AI technology as having sophisticated emotional
intelligence skills to the degree where technology can develop compassion. But where are …

Chaos optimization algorithms (COAs) usually utilize the chaotic map like Logistic map to
generate the pseudo-random numbers mapped as the design variables for global …

Niching is the technique of finding and preserving multiple stable niches, or favorable parts
of the solution space possibly around multiple optima, for the purpose of solving multimodal …

The wolf pack unites and cooperates closely to hunt for the prey in the Tibetan Plateau,
which shows wonderful skills and amazing strategies. Inspired by their prey hunting …

This paper examines the impacts of carbon tax on energy intensity and economic growth in
a novel four-dimensional energy-saving and emission-reduction system with carbon tax …

The application of chaotic sequences can be an interesting alternative to provide search
diversity in an optimization procedure, named chaos optimization algorithm (COA). Since the …

The chaos driven discrete artificial bee colony (CDABC) algorithm is introduced in this
paper. Four unique chaos maps of Burgers, Lozi, Delayed Logistic and Tinkerbell are …