This chapter focuses on using a highly detailed simulation model to create a physical security system to detect intrusions by human agents in a building thereby minimizing the expected loss of such intrusions. Security consists of human guards and fixed security cameras. The problem is represented as a binary optimization problem and a new heuristic is proposed to perform the security configura...

The family scheduling problems involve multiple job types where jobs are classified into specific families by their similarity characteristics. Within this class of problems, the single machine family scheduling problem to minimize total tardiness is at least binary NP-Hard. In this paper, we consider the case where jobs in the same family need not be processed together and develop a hybrid gen...

SCATTERING MEDIA by XIAOLONG ZHANG (Under the Direction of Peter Kner) ABSTRACT Random light scattering in inhomogeneous media causes strong wavefront aberrations and makes it impossible to focus light. Many wavefront correction techniques have been recently demonstrated to control light propagation in these media. Phase modulation with a spatial light modulator (SLM) and digital light modulato...

In this paper, we have proposed a low cost optimized solution for the movement of a three-arm manipulator using Genetic Algorithm (GA) and Analytical Hierarchy Process (AHP). A scheme is given for optimizing the movement of robotic arm with the help of Genetic Algorithm so that the minimum energy consumption criteria can be achieved. As compared to Direct Kinematics, Inverse Kinematics evolved ...

In this paper, we have proposed a low cost optimized solution for the movement of a three-arm manipulator using Genetic Algorithm (GA) and Analytical Hierarchy Process (AHP). A scheme is given for optimizing the movement of robotic arm with the help of Genetic Algorithm so that the minimum energy consumption criteria can be achieved. As compared to Direct Kinematics, Inverse Kinematics evolved ...

Choosing a good representation is a vital component of solving any search problem. However, choosing a good representation for a problem is as diicult as choosing a good search algorithm for a problem. Wolpert and Macready's No Free Lunch theorem proves that no search algorithm is better than any other over all possible discrete functions. We elaborate on the No Free Lunch theorem by proving th...

In this paper we present a novel algorithm for reconstructing binary images containing objects which can be described by some parameters. In particular, we investigate the problem of reconstructing binary images representing disks from four projections. We develop a genetic algorithm for this and similar problems. We also discuss how prior information on the number of disks can be incorporated ...

Given data in the form of a collection of (x,y) pairs of real numbers, the symbolic function identification problem is to find a functional model of the form y = f(x) that fits the data. This paper describes a system for solution of symbolic function identification problems that combines a genetic algorithm and the Levenberg-Marquardt nonlinear regression algorithm. The genetic algorithm uses a...

Now a days space vehicles and other electronic hardware also demands that the architectures should be small, speed in operation, low power consumption, small in area and be reconfigurable in unexpected environments. The evolvable hardware (EHW) or evolutionary algorithm used to design the desired circuit automatically. Genetic algorithm is the commonly used evolutionary algorithm. EHW, because ...

Abstract— In this paper, we present a hard-decision decoding technique based on Genetic Algorithms (HDGA), which is applicable to the general case where the only known structure is given by the generating matrix G. We also present a new soft-decision decoding based on HDGA and the Chase algorithm (SDGA). The simulations, applied on some binary Linear Block Codes, show that the genetic decoder h...