Compiler optimization

Traveling Salesman Problem (TSP) is one of combinatorial optimization problems. X TSP is NP-hard problem which defined as a set of cities and each city should be visited once with minimum tour length. This paper solved this problem using Firefly Algorithm (FA) and k-means clustering by three steps: cluster the nodes, finding optimal path in each cluster and connect the clusters. The first step is to divide all nodes into sub-problems using k-means clustering, the second step is to use FA to find…

Answer: TRUE Diff: 2 Page Ref: Ch 2 review Main Heading: Formulation and Computer Solution Key words: formulation, standard form 5) Fractional relationships between variables are not permitted in the standard form of a linear program. Answer: TRUE Diff: 2 Page Ref: Ch 2 review Main Heading: Formulation and Computer Solution Key words: formulation, standard form 1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall 6) A constraint for a linear programming problem can…

• PSO Algorithm to generate test cases A. Initialize the population with N Particles where Program will search for optimal solution through the movement of these particles. And Set iterations counter I = 0. B. Apply Fitness function: Calculating the fitness value by calculating the percentage of this particle will share in minimizing the total processing time to find the optimal solution. C. Compare the calculated fitness value of each particle with its (lbest). If current value is better…

2.RELATED WORK The artificial bee colony (ABC), an optimization technique is based upon the intelligent moving behavior of honey bee swarm was proposed by Karaboga in 2005. This kind of new Meta heuristic is inspired by the clever foraging behavior of honey bee swarm. The criteria presented in the work is for numerical function optimization. The advantage of ABC is that the global search ability in the algorithm is implemented by introducing neighborhood source production mechanism. Rao et al.…

which will simultaneously upgrade the voltage at every bus, following methodology is opted which also includes the calculation of required shunt compensation. There are two cases: Case 1: Base case The problem formed is a non linear constrained optimization problem. Interior point method is used to solve this problem. The interior-point approach to constrained minimization is to solve a sequence of approximate minimization problems. It reaches a best solution by traversing the interior of the…

Angular Acceleration is described as the rate of change of angular velocity, it is also recognized as rotational acceleration. According to the author the magnitudes and lengths of angular acceleration vectors are proportional to the rate of change of angular velocity. Depending on the direction in which an object such a platter is rotation the angular acceleration could be pointing toward or away the observer, in this lab we are going to be investigating the rotational motion for which a dish…

The general model introduced in Fig.4.10 is commonly used to design stable high-order modulators. If a chain of integrators is used to form the loop filter, two main modulators typologies exist [1, 5, 8]: a cascade of M delaying integrators is used to form the filter, where the feedback and the input signals are being fed to each integrator input with different weight factors a_i and b_i (Fig.4.11). The transfer function of the signal filter, L_0, is: while the feedback filter L_1 can be…

shown below? Nobody have ever thought about this design before! Topology Optimization may be an architectural tool rather a material saving script. In fact,the current approach is to ease and sharpen the results of the topology optimization process to make them applicable into reality despite its funky outputs (cite), exactly as shown in the layout below. All we need is an extra post-processing in implementing the optimization results into…

In the architectural, engineering and construction industry there is a growing awareness that the effective design of sustainable buildings results from an accurate optimization process of all the variables that are involved and interrelated in meeting the various sustainability goals in the field of energy, indoor environmental quality, water management, and sustainable materials [1][2]. For that reason, current frameworks for the building design process rely on a high degree of…

CHAPTER 4 PSO AND GA TECHNIQUE 4.1 Moth Flame Optimization In the proposed MFO algorithm, I assumed that the candidate solutions are moths and the problem’s variables are the position of moths in the space. Therefore, the moths can fly in 1-D, 2-D, 3-D, or hyper dimensional space with changing their position vectors. Since the MFO algorithm is a population-based algorithm. It should be noted here that moths and flames are both solutions. The difference between them is the way we treat and…