Selecting the routes and the assignment of link flow in a computer communication networks are extremely complex combinatorial optimization problems. Metaheuristics, such as genetic or simulated annealing algorithms, are widely applicable heuristic optimization strategies that have shown encouraging results for a large number of difficult combinatorial optimization problems. This paper considers...

The simulated annealing was perceived as a useful method for many intractable problems. However, it needs additional strategies to cope with time complexity due to an initial state and search space reduction. In this work, we suggested an efficient transition rule and applied it to a nurse scheduling problem. It uses a cost matrix to reduce a set of candidates, which results in performance impr...

A bi-objective mathematical model is developed to simultaneously consider the quay crane and yard truck scheduling problems at container terminals. Main real-world assumptions, such as quay cranes with non-crossing constraints, quay cranes’ safety margins and precedence constraints are considered in this model. This integrated approach leads to better efficiency and productivity at container te...

The formulations of the user-optimal dynamic traffic assignment (UODTA)-based network design problem (NDP), signal setting design problem (SSD), and the integrated NDP and SSD problem (NDP-SSD) for the deterministic (DET), stochastic (SP) and robust (RO) optimizations are reviewed. The modifications of the simulated annealing (SA), genetic algorithm (GA) and reactive tabu search (RTS) for the n...

This paper presents the first ever virtual keyboard layout based on character frequency analysis of Urdu Corpus. To optimize the keyboard layout Monte Carlo Simulation with simulated annealing is used. Furthermore, the proposed keyboard layout is augmented with word prediction list derived from Urdu corpus to speed up text entry. Performance analysis of keyboard layout is done for justification...

This paper addresses a bi-modal multi-objective discrete urban road network design problem. The problem includes the simultaneous design of urban road and bus networks in urban areas in which the authorities play a major role in designing bus network topology. The road network design consists of decision making for lane additions to the existing streets, new street constructions, determining th...

introduction several methods have been developed to aid in selecting a network of biodiversity protected areas. one of these methods is artificial intelligence which includes a number of different computer algorithms that use an objective function to find the best solution. an algorithm is a mathematical process or a set of rules used for problem solving. recently, site selection algorithms hav...

Multilevel techniques are efficient approaches for solving the large linear systems that arise from discretized partial differential equations and other problems. While geometric multigrid requires detailed knowledge about underlying problem its discretization, algebraic aims to be less intrusive, requiring origin of system. A key step in is choice coarse/fine partitioning, aiming balance conve...

in any supply chain, distribution planning of products is of great importance to managers. with effective and flexible distribution planning, mangers can increase the efficiency of time, place, and delivery utility of whole supply chain. in this paper, inventory routing problem (irp) is applied to distribution planning of perishable products in a supply chain. the studied supply chain is compos...