The problem we consider is a practical multiple-period wood procurement planning problem in the Eastern Canadian context. The forest cut blocks are large and heterogeneous; they have different densities and the diameter of the trees varies. This is a difficult forest management problem because it integrates two related problems: the forest bucking problem with a cut-to-length (CTL) bucking syst...

nowadays, the necessity of accurate quantitative decision support methods is becoming a critical subject for managers as rivalry between organizations caused a more fragile economic environment and brand reputation is becoming more important. furthermore, dealing with incidents after they happened is not accepted by customers anymore. managers require powerful decision making tools to support t...

Background Postpartum period is an important entry point for family planning service provision; however, women in Ethiopia are usually uncertain about the use of family planning methods during this period. Limited studies have been conducted to assess postpartum family planning use in Addis Ababa, in particular and in the country in general. So, this study was conducted to assess postpartum fam...

This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its several neighboring sub-problems for optimizin...

Objective: This paper presents a long-term dynamic multi-objective model for distributed generation investment. In this model, sizing, sitting of DG units and specially the dynamics of investment over the planning period is considered as three objectives as multi-objective optimization problem. Accordingly, the multiobjective Interactive Artificial Bee Colony (IABC) is implemented for solving t...

Today, the power system operation represents a challenge given security and reliability requirements. Mathematical models are used to represent solve operational planning issues related with electric systems. Specifically, AC optimal flow (ACOPF) DC (DCOPF) tools for purposes. The DCOPF versions correspond lineal of ACOPF. This is due fact that solution often hard obtain ACOPF considering all c...

In this paper, we consider planning for multi-agents situations in STRIPS-like domains with planning graph. Three possible relationships between agents’ goals are considered in order to evaluate plans: the agents may be collaborative, adversarial or indifferent entities. We propose algorithms to deal with each situation. The collaborative situations can be easily dealt with the original Graphpl...

In supply chain management (SCM), multi-product and multi-period models are usually used to select the suppliers. In the real world of SCM, however, there are normally several echelons which need to be integrated into inventory management. This paper presents a hybrid intelligent algorithm, based on the push SCM, which uses a fuzzy neural network and a genetic algorithm to forecast the rate of ...