This paper studies the nonlinear optimization problems subject to bipolar max-min fuzzy relation equation constraints. The feasible solution set of the problems is non-convex, in a general case. Therefore, conventional nonlinear optimization methods cannot be ideal for resolution of such problems. Hence, a Genetic Algorithm (GA) is proposed to find their optimal solution. This algorithm uses th...

One of the main challenges of wireless sensor network is how to improve its life time. The limited energy of nodes is the main obstacle. We may overcome this problem by optimizing the nodes' power consumption. A solution is clustering, but optimum clustering of wireless sensor network is an NP-Hard problem. This paper proposes a hybrid algorithm based on Genetic Algorithm and Particle Swarm Opt...

Controllers design problems are multi objective optimization problems as the controller must satisfy several performance measures that are often conflicting and competing with each other. In multi-objective approach a set of solutions can be generated from which the designer can select a final solution according to his requirement and need. This paper presents the design and analysis Proportion...

There are many spectrum balancing algorithms to combat the deleterious impact of crosstalk interference in digital subscriber lines (DSL) networks. These algorithms aim to find a unique operating point by optimizing the power spectral densities (PSDs) of the modems. Typically, the figure of merit of this optimization is the bit rate, power consumption or margin. This work poses and solves a dif...

Among the several non-conventional processes, electrical discharge machining (EDM) is the most widely and successfully applied for the machining of conductive parts. In this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. Hence, this technique could be employed to machine hard materials such as super allo...

In this paper we, present a new heuristic called PowerFM which is a modification of the well-known Fidducia Mattheyeses algorithm for VLSI netlist partitioning. PowerFM considers the minimization of power consumption due to the nets cut. The advantages of using PowerFM as an initial solution generator for other iterative algorithms, in particular Genetic Algorithm (GA) and Tabu Search (TS), for...

It is well known that tandem cold rolling is one of the most widely used processes in the manufacture of various sheet products with high accuracy and production rate. This paper deals with an optimization problem for tandem cold rolling. A genetic algorithm is developed to optimize the reduction schedules from the power consumption and damage evolution points of view. Damage-coupled finite ele...

Genetic algorithm based optimization rely on explicit relationships between parameters, observations and criteria. GA based optimization when done in cognitive radio can provide a criteria to accommodate the secondary users in best possible space in the spectrum by interacting with the dynamic radio environment at real time. In this paper we have proposed adaptive genetic algorithm with adaptin...

Node cooperation can protect wireless networks from eavesdropping by using the physical characteristics of wireless channels rather than cryptographic methods. Allocating the proper amount of power to cooperative nodes is a challenging task. In this paper, we use three cooperative nodes, one as relay to increase throughput at the destination and two friendly jammers to degrade eavesdropper&rsqu...