In this paper, multiobjective design of multi-machine Power System Stabilizers (PSSs) using Particle Swarm Optimization (PSO) is presented. The stabilizers are tuned to simultaneously shift the lightly damped and undamped electro-mechanical modes of all machines to a prescribed zone in the s-plane. A multiobjective problem is formulated to optimize a composite set of objective functions compris...

this paper introduces an implicit scheme for a   continuous representation of nonexpansive mappings on a closed convex subset of a hilbert space with respect to a   sequence of invariant means defined on an appropriate space of bounded, continuous real valued functions of the semigroup.   the main result is to    prove the strong convergence of the proposed implicit scheme to the unique solutio...

This paper deals with the dynamic optimization of a wastewater treatment plant model for nitrogen removal. Two process variables (i.e., aeration factor in a tank and internal recycle flow rate) are selected as control variables and their time profiles are approximated using the control vector parameterization (CVP) technique. Two conflicting objectives have been considered to formulate a multio...

Recently, a problem that the infrared decoy interferes infrared detection system, cannot be solved. With the gradual application and popularity of the particle swarm optimization, it is preferable to apply it to dynamic multiobjective optimization to solve the problem of the recognition and the estimation of dynamic multi-object in infrared imaging. In this study, the dynamic multi-objective es...