In cluster analysis, a fundamental problem is to determine the best estimate of the number of
clusters; this is known as the automatic clustering problem. Because of lack of prior domain …

An essential task in radar systems is to find an appropriate solution to the problems related
to robust signal processing and the definition of signal parameters. Signal Processing in …

Today, the required energy of thermal desalination is widely supplied by power generation
cycles as dual-purpose plants. One of the most considerable issues in combining gas …

The present study deals with the multi-objective optimization for designing a combined gas
turbine and multi stage flash desalination plant. In optimization approach, the exergetic …

Advancement of technology has led to problems that are complex and more challenging.
Swarm intelligence techniques were mostly developed for solving optimization problems …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

In this paper, we proposed a new typhoon rainfall forecasting model to improve hourly
typhoon rainfall forecasting. The proposed model integrates multi-objective genetic …

Abstract The Particle Swarm Optimization or PSO is a heuristic based on a population of
individuals, in which the candidates for a solution of the problem at hand evolve through a …

The optimal design for heat recovery steam generator (HRSG) should be chosen based on
technical and economic considerations. Therefore, parameters that are related to …

Dam construction in arid and semiarid regions is generally related to the risk of increased
salinity, due to water passage in contact with salty formations. Hence, it is important to take …