this research provides an optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. the problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments neede...

In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of equality and inequality constraints. Often the conventional techniques fail to yield global optimal solution...

The purpose of this paper is multi-objective optimization of refrigeration cycle by optimization of all components of the cycle contains heat exchangers, air condenser, evaporator and super-heater. Studied refrigeration cycle is compression refrigeration cycle of unit 132 Third refineries in south pars that provide chilled water for cooling refinery equipment's. Cycle will be performed by t...

ReaderBench is a multi-purpose, multi-lingual and flexible environment that enables the assessment of a wide range of learners’ productions and their manipulation by the teacher. ReaderBench allows the assessment of three main textual features: cohesion-based assessment, reading strategies identification and textual complexity evaluation, which have been subject to empirical validations. Reader...

The purpose of this paper is multi-objective optimization of refrigeration cycle by optimization of all components of the cycle contains heat exchangers, air condenser, evaporator and super-heater. Studied refrigeration cycle is compression refrigeration cycle of unit 132 Third refineries in south pars that provide chilled water for cooling refinery equipment's. Cycle will be performed by t...

Any organization that develops software strives to improve the quality of its products. To do this first requires an understanding of the quality of the current product version. Then by iteratively making changes, the software can be improved with subsequent versions. But this must be done in a systematic and methodical way and for this purpose, we have developed a specific strategy called SIQi...

this paper proposes a method to solve multi-objective problems using improved particle swarm optimization. we propose leader particles which guide other particles inside the problem domain. two techniques are suggested for selection and deletion of such particles to improve the optimal solutions. the first one is based on the mean of the m optimal particles and the second one is based on appoin...

The pipeline route selection process focuses on achieving the optimal location for a pipeline. Even though this is the desired process outcome, in reality it is counter to data and information collection efforts that are concentrated on identifying and inventorying locations for pipeline avoidance. Changing and aligning the routing mindset from output (pipeline route) to input (discipline infor...

This paper addresses production systems optimisation in uncertain context. A standard framework for solving such type of problem is depicted in a 3-step approach. The two first steps consist of off-line characterisation of the problem and calculation of solutions with some desired performance. A generic approach to implement these off-line steps is introduced in this paper. This approach relies...