[PDF] Top 20 Compiler Optimization: A Genetic Algorithm Approach
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Compiler Optimization: A Genetic Algorithm Approach
... which optimization feature has to be considered for a code to perform the optimization out of a large space of optimization ...like Genetic Algorithm, Simulated Annealing ...on ... See full document
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Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator
... [4]. Genetic algorithm (GA) is a stochastic optimization ...global optimization tech- nique (search algorithm) inspired by the laws of natural selection and ...This algorithm is ... See full document
6
Hybrid of Genetic Algorithm and Continuous Ant Colony Optimization for Optimum Solution
... hybrid approach consisting GA and CACO and its performance is evaluated using various test ...hybrid approach using a set of well-known benchmark ...hybrid algorithm in finding the ... See full document
6
A New Multi-agent Approach for Solving Optimization Problems with High-dimensional: Case Study in Email Spam Detection
... appropriate approach to solve such problems is to apply multi-agent systems along with the metaheuristic ...new approach based on the multi-agent systems and the concept of agent, which is named Multi-Agent ... See full document
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A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING
... hybrid optimization algorithm based Genetic Algorithms (GAs) is proposed to solve constrained optimization engineering ...hybrid Genetic Algorithms (GA) and great deluge ... See full document
5
Optimization of Bearing Locations for Maximizing First Mode Natural Frequency of Motorized Spindle Bearing Systems Using a Genetic Algorithm
... deduce, genetic algorithm (GA), an optimization approach without derivatives, is utilized to solve the optimization problem in this ... See full document
17
Redundancy Allocation in an Industry using Multi-Objective Optimization
... different optimization approaches and present a new approach, a genetic algorithm (GA) which can solve the general class of the redundancy allocation ... See full document
10
A Hybrid Genetic Algorithm Approach To Solve Inverse Kinematics Of A Mechanical Manipulator
... The genetic algorithm is quite popular for finding global optimization and hence many researchers have presented papers for solving the inverse kinematics using genetic algorithms ...a ... See full document
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Genetic algorithm for the cargo shunting cooperation between two hub-and-spoke logistics networks
... Facing the competition, logistics enterprises cooperate to optimize the operation network through paid sharing of logistics resources. More research is needed about the cooperation mode of logistics enterprises, ... See full document
17
An optimization model for aggregate production planning and control: a genetic algorithm approach
... production approach predicting the existence of an aggregate production unit, such as volume, production time, or dollar ...cost optimization model for ... See full document
22
Genetic Algorithm Approach for Bandwidth Optimization in Near Video on Demand System
... this approach is very complex, as it requires a replica of videos with different playout rates to be stored in the server in ...caching algorithm in which each peer adaptively and independently replaced ... See full document
9
Enhanced genetic algorithm-based back propagation neural network to diagnose conditions of multiple-bearing system
... geometrical approach (Redondo and Espinosa, 2001; Sookil and Sunwon, 2006), statistical approach (Olden and Jackson, 2002), Particle Swarm Optimization (PSO) (Al-Shareef and Abbod, 2010; Nikelshpur ... See full document
41
Machine Learning in Compiler Optimization
... graph-based approach for feature representations ...based compiler optimi- sation ...Their approach targets the phase ordering problem. The order of compiler optimisation passes is repre- ... See full document
21
Floor Layout Optimization Using Genetic Algorithm
... simultaneous genetic optimization for a number of possibly competing ...the approach of linear ...the optimization. A more satisfactory approach is to use the notion of Pareto ... See full document
5
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... While these methods provide many characteristics that make it the method of choice for the researchers in problem domain, the most important reasons are: the paradigms use direct ‘fitness’ information instead of ... See full document
10
Optimization with Quantum Genetic Algorithm
... quantum algorithm searching for unsorted database in square root of time it would take on a classical computer has also been described by Grover [4] - ...for genetic algorithms have a vast search space, it ... See full document
7
Playfair extended using Genetic Operators
... Abstract: Security plays an important role in day to day life. A stronger encryption method always makes a user happy when it comes to the security of their data. This paper extends the traditional playfair encryption ... See full document
5
COMPARATIVE STUDY OF HEURISTIC OPTIMIZATION TECHNIQUES (HOTS) FOR ENERGY EFFICIENT INDUCTION MOTOR DESIGN
... A new evolutionary algorithm called exchange market algorithm (EMA) was proposed by Naser Ghorbani and Ebrahim Babaei in 2014 [16]. The EMA is inspired by intelligent dealings of shareholders. The exchange ... See full document
9
Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review
... A Genetic Algorithm (GA) is a search algorithm technique based on the principles of evolution and natural genetics. It was initially proposed by John Holland in 1970’s [12]. GA reflects some of the ... See full document
6
“A REVIEW ON DESIGN AND ANAYSIS OF CRANE HOOK”
... Takuma Nishimura et. al (2010), studied the damage estimation of crane-hooks. They estimated the load conditions which were assumed to be crucial to the crane-hook damages. FEM model of the crane-hook referring to one of ... See full document
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