The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

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 …

With the rapid development of information technology, infringements have become
increasingly serious. Digital watermarking is an effective method to protect information. The …

Hybrid algorithm is proposed to solve combinatorial optimization problem by using Ant
Colony and Genetic programming algorithms. Evolutionary process of Ant Colony …

Technical trading rules can be generated from historical data for decision making in stock
markets. Genetic programming (GP) as an artificial intelligence technique is a valuable …

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular
optimization algorithms based on nature, starts with an overview of optimization going from …

Dynamic portfolio trading system is used to allocate one's capital to a number of securities
through time in a way to maximize the portfolio return and to minimize the portfolio risk …

Genetic programming (GP) is a machine learning tool to predict the maximum dry density (ρ
dmax) as well as optimum water content (OMC) of expansive soils ('ρ dmax OMC-ES') in …

Regulators continue to debate whether high‐frequency trading (HFT) is beneficial to market
quality. Using Strongly Typed Genetic Programming (STGP) trading algorithm, we develop …

Recently, Particle Swarm Optimization (PSO) algorithm has exhibited good performance
across a wide range of application problems. A quick review of the literature reveals that …