this paper presents a simple methodology for cost estimation of a near optimal heat exchanger network, which comprises mixed materials of construction. intraditional pinch technology and mathematical programming it is usually assumed that all heat exchangers in a network obey a single cost model. this implies that all heat exchangers  in a network are of the same type and use the same materials...

Adaptive Random Searches (ARS) are simple and effective optimization methods used for handling complicated nonconvex / multimodal nonlinear programming (NLP) and mixed-integer nonlinear programming (MINLP) problems. ARS iteratively adapt search characteristics according to the past successful / failure steps. Periodic search domain expansions and contractions improve significantly the reliabili...

We develop a probabilistic control algorithm, GTLProCo , for swarms of agents with heterogeneous dynamics and objectives, subject to high-level task specifications. The resulting algorithm not only achieves decentralized the swarm but also significantly improves scalability ov...

multiple objective programming (mop) problems have become famous among many researchers due to more practical and realistic implementations. there have been a lot of methods proposed especially during the past four decades. in this paper, we develop a new algorithm based on a new approach to solve mop problems by starting from a utopian point (which is usually infeasible) and moving towards the...

The present study attempts to deal with two problems: optimal allocation of distribution generations (DGs) and reconfiguration a system satisfy several multiobjectives including smoothing the voltage profile, minimizing cost reliability, balancing amount load on end-user side. These problems are merged into one single optimization problem aforementioned objective functions. type is mixed-intege...

The problem of data reconciliation and the detection and identification of gross errors, such as measurement bias, are closely related and permits a solution within a mixed integer optimization framework. A mixed-integer linear programming (MILP) approach has been previously investigated by Soderstrom et al. (2001), where the process model was described by a set of linear equations. This paper ...

The safety and reliability of an electrical network depend on the performance protections utilized. Therefore, optimal coordination protective devices plays essential role. In this paper, a new algorithm, Equilibrium Optimizer (EO), which is based physical equation mass balance, implemented in problem Optimal Coordination Directional Overcurrent Relays (DOCRs). Moreover, proposed method uses Li...

This paper focuses on adjusting the offline-planned schedules for urban rail networks in case of large passenger demand. We simultaneously reschedule train services, adjust rolling stock plans, and find best route passengers updated schedule. The goal is to improve transport performance balance it with operating cost, while respecting operational constraints. A mixed-integer nonlinear programmi...

a compact formulation of the set of tours neither in a graph nor its complement is presented and illustrates a general methodology proposed for constructing polyhedral models of decision problems based upon permutations, projection and lifting techniques. directed hamilton tours on n vertex graphs are interpreted as (n-1)- permutations. sets of extrema of birkhoff polyhedra are mapped to tours ...