This paper deals with various ways of using multiobjective (vector) optimization in assembly line optimization problem. Nowadays, there are two main approaches to solve multi-objective optimization tasks: artificial intelligence approach using mainly evolutionary algorithms; and mathematical approach based on detail mathematic description of optimized assembly line. This paper is summarizing kn...

Increasing environmental awareness in today's society and stricter regulations have forced manufacturing firms to take necessary actions for the recovery of end-of-life (EOL) products through different options (e.g., recycling, remanufacturing,). Disassembly is regarded as a critical operation EOL treatment used since all product require disassembly at certain levels. This generally carried out...

nowadays, due to inherent complexity of real optimization problems, it has always been a challenging issue to develop a solution algorithm to these problems. single row facility layout problem (srflp) is a np-hard problem of arranging a number of rectangular facilities with varying length on one side of a straight line with aim of minimizing the weighted sum of the distance between all facility...

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

In this paper model predictive control problems are reformulated as multi-parametric programs. The optimal value of control variables is obtained as an explicit function of the state variables. This reduces on-line optimization to simple function evaluations that need simple computational hardware.

The Barzilai-Borwein method for nonlinear optimization is adapted to Riemannian manifold optimization. More generally, global convergence of a nonmonotone line-search strategy for Riemannian optimization algorithms is proved under some standard assumptions. By a set of numerical tests, the Riemannian BarzilaiBorwein method with nonmonotone line-search is shown to be competitive in several Riema...

Arguably, the natural gas transmission pipeline infrastructure in Iran represents one of the largest and most complex mechanical systems in the world. The optimization of large gas trunk lines known as IGAT results in reduced fuel consumption or higher capability and improves pipeline operation. In the current study, a single-objective optimization was conducted for Khormoj compressor station o...

Electric power line overhaul plan is an important issue on power system and engineering practice. As particle swarm optimization is to be a new intelligent algorithm. It is gradually applied into power system these years. This paper provides a relative mathematical model to solve the problems in power line overhaul. Particle swarm optimization algorithm has advantages of less parameters setting...