Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …

In this paper dynamic parameter adjustment in particle swarm optimization (PSO) for
modular neural network (MNN) design using granular computing and fuzzy logic (FL) is …

As a well-known stochastic optimization algorithm, the particle swarm optimization (PSO)
algorithm has attracted the attention of many researchers all over the world, which has …

Practical engineering optimization problems are almost constrained optimization problems
and difficult to be solved effectively, therefore, how to handle these problems has attracted …

Reservoir flood control operation is a complex engineering optimization problem with a
large number of constraints. In order to solve this problem, a chaotic particle swarm …

An emergency response system (ERS) can assist a municipality or government in improving
its capabilities to respond urgent and severe events. The responsiveness and effectiveness …

The prime objective of the current study is to illustrate not only the tribomechanical
properties of hardfaced deposit but also the parametric study, modelling and optimisation of …

To more effectively solve the complex optimization problems that exist in nonlinear, high-
dimensional, large-sample and complex systems, many intelligent optimization methods …

Classic multiple traveling salesman problem (MTSP) requires to find the k closed circular
paths which minimize the sum of the path lengths, and each vertex is visited only once by a …