pumps are among the early instruments invented by humans to be taken advantage of in the use of water utilities. design and operation problem of pumping stations is a type of mixed integer non linear programming, in which gradient based optimization methods are not efficient for solving complex problems of this type. in this regard, such evolutionary optimization algorithms as genetic algorithm...

We develop reserve selection methods for maximizing either species retention in the landscape or species representation in reserve areas. These methods are developed in the context of sequential reserve selection, where site acquisition is done over a number of years, yearly budgets are limited and habitat loss may cause some sites to become unavailable during the planning period. The main meth...

This paper proposes a joint inspection-based maintenance and spare ordering optimization policy that considers the problem of integrated inspection, preventive maintenance, ordering, quality control for four-state single-unit manufacturing system. When an inspection detects minor defect, second phase is initiated regular order placed. Product begins to deteriorate when system undergoes severe d...

Query optimization is an important aspect in designing database management systems, aimed to find an optimal query execution plan so that overall time of query execution is minimized. Multi join query ordering (MJQO) is an integral part of query optimizer. This paper aims to propose a solution for MJQO problem, which is an NP complete problem. This paper proposes a heuristic based algorithm as ...

Extended Finite State Machine (EFSM) is a popular model for software testing. Automated test generation on EFSM models is still far from mature. One of the challenges is test case generation for a given path and the path may be infeasible. This paper proposes a novel approach to solve the path ordering problem by the Multi-objective Pareto optimization technique. Two fitness functions are desig...

Sequence optimization, where the items in a list are ordered to maximize some reward has many applications such as web advertisement placement, search, and control libraries in robotics. Previous work in sequence optimization produces a static ordering that does not take any features of the item or context of the problem into account. In this work, we propose a general approach to order the ite...

Sequence optimization, where the items in a list are ordered to maximize some reward has many applications such as web advertisement placement, search, and control libraries in robotics. Previous work in sequence optimization produces a static ordering that does not take any features of the item or context of the problem into account. In this work, we propose a general approach to order the ite...

In the last few years there has been a growing interest in the field of Estimation of Distribution Algorithms (EDAs), where crossover and mutation genetic operators are replaced by probability estimation and sampling techniques. The Bayesian Optimization Algorithm incorporates methods for learning Bayesian networks and uses these to model the promising solutions and generate new ones. The aim o...

Conjunctive query answering is an important task for many applications on Semantic Web. It is important to efficiently answer queries over knowledge bases with large ABoxes. Although answering conjunctive queries has been studied from a theoretical point of view, until very recently, there was no reasoner supporting such functionality. As a result, there is not enough implementation experience ...