The dense wavelength division multiplexing routing and provisioning problem with uncertain demands and a fixed budget is modeled as a multicriteria optimization problem. To obtain a robust design for this problem, the primary objective is to minimize a regret function that models the total amount of over and/or under provisioning in the network resulting from uncertainty in a demand forecast. P...

A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multi-objective o...

The optimization of network protocol parameters based on network simulation can be considered a “black-box” optimization problem with unknown, multi-modal and noisy objective functions. In this paper, an adaptive random search algorithm is proposed to perform efficient and robust optimization for the concerned problems. Specifically, the algorithm is designed for use by the on-line simulation s...

Nonlinear constrained programing problem (NCPP) has been arisen in diverse range of sciences such as portfolio, economic management etc.. In this paper, a multiobjective imperialist competitive evolutionary algorithm for solving NCPP is proposed. Firstly, we transform the NCPP into a biobjective optimization problem. Secondly, in order to improve the diversity of evolution country swarm, and he...

The optimization is one of the challenging problems in power system. The optimization sometimes is mainly restricted to the minimization of the operating cost. However, the operation of power plants, mostly thermal units, results into various types of emissions like SOx, NOx and COx etc. The environmental concern dictates the minimization of the emissions by the thermal plant. Individually, if ...