Abstract In cellular mobile communications the subcarriers are repeatedly used for best utilizing the assigned frequency spectrum. The assignment of channels for users is complex and involves high computation time. Wong et al [15] proposed a heuristic algorithm to achieve the suboptimal solution for sub-carrier assignment. This proposal was based on constructive assignment in real time situatio...

This paper presents a periodic heuristic algorithm to solve the timeslots assignment problem of multi-terminals in MF-TDMA system with star topology. The goal is to design an algorithm that allows the processing of a given traffic profile with some constraints and a maximum utilization of the total frequency channel capacity, using the minimum spectrum bandwidth. The MF-TDMA system is viewed as...

This paper compares the heuristic Global Search Techniques; Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Generalized Pattern Search, genetic algorithm hybridized with Nelder–Mead and Generalized pattern search technique for tuning of fuzzy PID controller for Puma 560. Since the actual control is in joint space ,inverse kinematics is used to generate various joint angles ...

This paper deals with the allocation of multiple advertisements on a Web banner. The purpose is to find a pattern generating algorithm that maximizes the revenue of the allocated advertisements. We set out an extensive simulation using standard banner sizes, primary and secondary sorting criteria for the set of advertisements, and four heuristic algorithms. The heuristic algorithms presented in...

Back-propagation Neural Network (BPNN) algorithm is one of the most widely used and a popular technique to optimize the feed forward neural network training. Traditional BP algorithm has some drawbacks, such as getting stuck easily in local minima and slow speed of convergence. Nature inspired meta-heuristic algorithms provide derivative-free solution to optimize complex problems. This paper pr...

The problem of the distribution of dairy products, which is classified as a combinatorial optimization problem, cannot be solved in polynomial time. In this paper, an algorithm based on Ant Colony Hybrid meta-heuristic system and Geographic Information System (GIS) was used to find a near-optimal solution to this problem. Using the former method, the nearest neighbor heuristic algorithm was use...

This paper presents a robust hybrid improved dolphin echolocation and ant colony optimization algorithm (IDEACO) for optimization of truss structures with discrete sizing variables. The dolphin echolocation (DE) is inspired by the navigation and hunting behavior of dolphins. An improved version of dolphin echolocation (IDE), as the main engine, is proposed and uses the positive attributes of an...

In a recent paper entitled “Simulation optimization of PSAthreshold based prostate cancer screening policies” [2], we presented a prostate-specific antigen (PSA) screening policy designed by a heuristic simulation-optimization procedure based on a genetic algorithm (GA). A key part of this procedure involved simulating the natural history of prostate cancer. Because we examined PSA-threshold ba...

the aim of this paper is to present an efficient method for a rail freight car fleet sizing problem. this problem is modeled mathematically as a multi-period, dynamic and multi-objective, in which the rail freight wagons are assumed to be heterogeneous. demands for different wagons and all travel times are assumed deterministic. in order to increase the utilization of the available wagons in th...

Finding the reliability expression of different substation configurations can help design a distribution system with the best overall reliability. This paper presents a computerized a nd implemented algorithm, based on Disjoint Sum of Product (DSOP) algorithm. The algorithm was synthesized and applied for the first time to the determination of reliability expression of a substation to determine...