Present day engineering optimization problems often impose large computational demands,
resulting in long solution times even on a modern high‐end processor. To obtain enhanced …

A number of recently proposed variants of the particle swarm optimization algorithm (PSOA)
are applied to an extended Dixon-Szeg und constrained test set in global optimization. Of …

THE determination of optimal (either minimum time or minimum propellant consumption)
space trajectories has been pursued with different numerical optimization methods, for …

In this paper a novel intelligent method is applied to the problem of sizing in a hybrid power
system such that the demand of residential area is met. This study is performed for Kahnouj …

The purpose of this paper is to demonstrate the application of particle swarm optimization to
a realistic multidisciplinary optimization test problem. The paper's new contributions to …

The high computational cost of complex engineering optimization problems has motivated
the development of parallel optimization algorithms. A recent example is the parallel particle …

An improved particle swarm optimization (PSO) algorithm was developed for solving non-
convex NLP/MINLP problem with equality and/or inequality constraints. The problem is …

The optimal sizing design of truss structures is studied using the recently proposed particle
swarm optimization algorithm (PSOA). The algorithm mimics the social behavior of birds …

Abstract Seasonal Auto Regressive Fractionally Integrated Moving Average (SARFIMA) is a
well-known model for forecasting of seasonal time series that follow a long memory process …

Heating/cooling systems have played an important role in building energy and comfort
management. There have been intensive discussions about the integration of …