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This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mut...

The use of evolutionary and swarm intelligence algorithms, has become a very popular option to solve complex real-world optimization problems. However, in their original versions, these algorithms lack a mechanism to han...

The objective of the present study was to develop an oral timed-released press-coated tablet containing theophylline as a model drug. A D-optimal design of experiment was employed to systematically study the effect of te...

An attempt has been made in this paper to access the control layer of the General Packet Radio Service (GPRS) network base station (BS), using throughput optimization. We focus on the effect of packet transmissions on th...

The performance of two selection mechanisms used in the most popular variant of differential evolution, known as DE/rand/1/bin, are compared in the solution of constrained numerical optimization problems. Four performanc...

In this Ph. D thesis, the main significant contributions are: formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in...

The aim of the present research was to study the optimisation of mevastatin production by Penicillium citrinum MTCC 1256. Optimization of fermentation medium was carried out by response surface methodology. Simultaneous ...

The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments. In the ACO metaheuristic, a colony of artificial ant...

Actualmente, el meprobamato no es un fármaco de amplio espectro comercial. Con el objetivo de obtener una formulación farmacéutica óptima para este fármaco u otros más competitivos, la metodología de diseños expe...

La resolución de problemas de optimización es de gran interés en la actualidad y ha motivado el desarrollo de diversos métodos informáticos para tratar de resolverlos. La Optimización mediante Cúmulos de Partícu...

In this paper, we present a new model of an artificial immune system (AIS), based on the process that suffers the T-Cell, it is called T-Cell Model. It is used for solving constrained (numerical) optimization problems. T...

This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In t...