This paper introduces an improved accelerated particle swarm optimization algorithm
(IAPSO) to solve constrained nonlinear optimization problems with various types of design …

The original particle swarm optimization (PSO) is not able to tackle constrained optimization
problems (COPs) due to the absence of constraint handling techniques. Furthermore, most …

A novel hybrid particle swarm and simulated annealing stochastic optimization method is
proposed. The proposed hybrid method uses both PSO and SA in sequence and integrates …

Increasing attention is being paid to solve constrained optimization problems (COP)
frequently encountered in real-world applications. In this paper, an improved vector particle …

To design and process electromagnetic wave absorbing Nano coatings, in this study various
factors that affect the properties for absorbing waves in polymer paints were examined and …

Artificial bee colony (ABC) algorithm is one of the most popular intelligence algorithms,
which has been widely applied to some unconstrained optimization problems. Many …

This paper proposes an online surrogate model-assisted multiobjective optimization
framework to identify optimal remediation strategies for groundwater contaminated with …

In recent years Grammatical Evolution (GE) has been used as a representation of Genetic
Programming (GP) which has been applied to many optimization problems such as symbolic …

Various evolutionary and nonevolutionary methods have been proposed in order to solve
complex search and optimization problems. Among these methods, a special place is …

Constrained optimization problems compose a large part of real-world applications. More
and more attentions have gradually been paid to solve this kind of problems. An improved …