In order to fundamentally renovate chemical and process industries based on firm sustainability principles, the scope of process synthesis should be expanded to the whole chemical supply-chain. Consequently, the capabilities of our methods and tools should be upgraded to enable the identification of new compounds, new reaction paths, and processes in order to create new products with desired pr...

Despite the fact that many methods have been developed for the optimization of process water networks, solving the problem simultaneously considering heat recovery has rarely been addressed. This paper presents a new approach for the simultaneous synthesis and optimization of heat integrated water networks. The procedure is based on mixed integer non-linear mathematical programming (MINLP). A n...

In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. HS is used for multiple objective planning, to evaluate the DG placement and sizing by considering the power losses and voltage profile as objective functions. HS is operated on 12bus, 15-bus and 33-bus radial distribution system(RDS). Obtained r...

Many applications must ingest and analyze data that are continuously generated over time from geographically distributed sources such as users, sensors and devices. This results in the need for efficient data analytics in geo-distributed systems. Energy efficiency is a fundamental requirement in these distributed systems, and its importance is reflected in much recent work on performance analys...

Stackelberg games form the core of a number of tools deployed for computing optimal patrolling strategies in adversarial domains, such as the US Federal Air Marshall Service and the US Coast Guard. In traditional Stackelberg security game models the attacker knows only the probability that each target is covered by the defender, but is oblivious to the detailed timing of the coverage schedule. ...

This paper focuses on the coordination of multiple robots with kinodynamic constraints along specified paths. The presented approach generates continuous velocity profiles that avoid collisions and minimize the completion time for the robots. The approach identifies collision segments along each robot’s path and then optimizes the motions of the robots along their collision and collision-free s...

We propose a new method to obtain the global optimum of MINLP problems containing bilinearities. Our special method that contracts the bounds of one variable at a time allows reducing the gap between eceived in revised form 6 April 2010 ccepted 8 April 2010 vailable online 14 April 2010 eywords: athematical programming ptimization a linear lower bound and an upper bound obtained solving the ori...

A hybrid particle swarm optimization algorithm which includes two alternative gradient-based methods for handling constraints has been proposed to solve process synthesis and design problems which involve continuous and binary variables and equality and inequality constraints (a mixed integer non-linear programming problem, MINLP). The first method for handling constraints uses the Newton-Raphs...

the fuzzy linear regression model with fuzzy input-output data andcrisp coefficients is studied in this paper. a linear programmingmodel based on goal programming is proposed to calculate theregression coefficients. in contrast with most of the previous works, theproposed model takes into account the centers of fuzzy data as animportant feature as well as their spreads in the procedure ofconstr...

This paper investigates an order allocation problem of a manufacturer/buyer among multiple suppliers under the risks of supply disruption. A mixed integer non-linear programming (MINLP) model is developed for order allocation considering different capacity, failure probability and quantity discounts for each supplier. We have shown that the formulated problem is NP-hard in nature and genetic al...