A utility function is an important tool for representing a DM’s preference. We adjoin utility functions to multi-objective optimization problems. In current studies, usually one utility function is used for each objective function. Situations may arise for a goal to have multiple utility functions. Here, we consider a constrained multi-objective problem with each objective having multiple utili...

High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...

A smart decision-making framework based on genetic algorithms (GA) and fuzzy logic is proposed for control and energy management of micro-grids. Objectives are to meet the demand profile, minimize electricity consumption cost, and to modify air pollution under a dynamic electricity pricing policy. The energy demand in the micro-grid network is provided by distributed renewable energy generation...

One of the more valuable and flexible forms of knowledge acquisition is based upon the use of repertory grids. A useful extension of repertory grids can be created by providing a method of semantically linking associated constructs and repertory grids. This network of grids is a semantic network with nodes consisting of individual repertory grids and links acting as ‘tracks.’ A track is a gener...

The government policies and benefits led to the surge in penetration of Plug-in Hybrid Electric Vehicles (PHEVs) Battery (BEVs) into both public private sectors. Power Grids are dynamic with load generation varying, wide spread adoption PHEVs can jeopardize endanger operation security distribution grids due overloading congestion. This paper develops two optimization models, one is for routing ...

The smart grid can be seen as a hybrid system composed by many systems. From a large scale point of view, it combines the electric power system itself and a heterogeneous information and communication technology (ICT) infrastructure. Additionally, these systems are composed by many building blocks that are designed and managed as separated systems which are hard to fully integrate between each ...

The increasing availability of “utility computing” resources such as clouds, grids, and massively parallel shared clusters can provide practically unlimited processing and memory capacity on demand, at some cost per unit of resource usage. This requires a new perspective in the design and evaluation of parallel search algorithms. Previous work in parallel search implicitly assumed ownership of ...

The intermittency of wind resources may appear as an important handicap for integrating large-scale wind power in existing grids. However, in Canada and the United States, studies show that coordination between interconnected power systems can be economically beneficial for both the wind power and electric utility industries if some power system management and market rules are applied. In order...