Application of Ant Algorithm for Software Optimization
نویسندگان
چکیده
منابع مشابه
An Ant Colony Optimization Algorithm for Network Vulnerability Analysis
Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack gra...
متن کاملA Hybrid Ant Colony Optimization Algorithm for Software Project Scheduling
The extraction of comprehensible knowledge is one of the major challenges in many domains. In this concept, an ant programming (AP) framework, which is capable of mining classification rules easily comprehensible by humans, and, therefore, capable of supporting expert-domain decisions, is presented. The algorithm proposed, called grammar based ant programming (GBAP), is the first AP algorithm d...
متن کاملApplication of Ant Algorithm to Pipe Network Optimization
The application of ant algorithms, as any other evolutionary optimisation method, requires a number of controlling parameters to be known a priori. These parameters are often determined by sensitivity analysis as their values dramatically affect the performance of the methods. In addition to these parameters, a penalty parameter is usually to be defined for constrained optimisation problems. An...
متن کاملAnt Colony Optimization Algorithm
Hybrid algorithm is proposed to solve combinatorial optimization problem by using Ant Colony and Genetic programming algorithms. Evolutionary process of Ant Colony Optimization algorithm adapts genetic operations to enhance ant movement towards solution state. The algorithm converges to the optimal final solution, by accumulating the most effective sub-solutions.
متن کاملCultural Ant Algorithm for Continuous Optimization Problems
In order to overcome prematurity of ant colony algorithm, the conception of belief space originated in cultural algorithm is introduced, and a new cultural ant algorithm is proposed for continuous optimization problems. Firstly, the coding scheme for ant colony algorithm to solve continuous optimization problems is discussed. Then belief space is brought in, and designed as the form of two part...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Review of Information Engineering and Applications
سال: 2020
ISSN: 2412-3676,2409-6539
DOI: 10.18488/journal.79.2020.71.6.17