A relationship between lung transplant success and many features of recipients'/donors has
long been studied. However, modeling a robust model of a potential impact on organ …

Particle Swarm Optimization (PSO) is a recently developed optimization method, which has
attracted interest of researchers in various areas due to its simplicity and effectiveness, and …

Particle swarm optimization (PSO) and fireworks algorithm (FWA) are two recently
developed optimization methods which have been applied in various areas due to their …

This paper presents a novel genetic algorithm for globally solving un-constraint optimization
problem. In this algorithm, a new real coded crossover operator is proposed firstly …

Genetic algorithms are efficient global optimizers, but they are weak in performing fine-
grained local searches. In this paper, the local search capability of genetic algorithm is …

In this paper, a hybrid algorithm consisting of particle swarm optimization and pattern search
algorithm is proposed to evaluate and optimize the design and operation of microgrids …

At present, artificial bee colony algorithm (ABC) is one of the hot issues in swarm
intelligence algorithm. Since it was proposed, people have done a lot of improvement work …

Particle swarm optimization (PSO) algorithm is one of the most effective and popular swarm
intelligence algorithms. In this paper, based on comparative judgment, an improved particle …

A derivative-free simulated annealing driven multi-start algorithm for continuous global
optimization is presented. We first propose a trial point generation scheme in continuous …

This book is devoted to the presentation of an exact quadratic regularization method for
solving the problems of global optimization. The essence of this method is to transform …