Multiobjective optimization for small meander wire dipole antennas in a fixed area using ant colony system

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiobjective Optimization for Small Meander Wire Dipole Antennas in a Fixed Area Using Ant Colony System

Fixed area meander line antennas designed on a 5 3 5 rectangular grid were optimized for efficiency and resonant frequency. The Pareto front was developed using ant colony optimization and the numerical electromagnetic code. The lowest frequency antenna fits an area of 0.11k0 3 0.05k0 with an efficiency of 88%. VC 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE 00: 000–000, 2009.

متن کامل

Reliability optimization using multiobjective ant colony system approaches

The multiobjective Ant Colony System (ACS) meta-heuristic has been developed successfully to provide a solution for the reliability optimization problems of series-parallel system and has been demonstrated its application to the reliability design of gear box. The problems involve the selection of components with multiple choice and redundancy levels that produce maximum benefits, and are subje...

متن کامل

Ant Colony Optimization in Multiobjective Portfolio Selection

Multiobjective decision-making and combinatorial optimization have been studied extensively over the past few decades (cf. [16], and [4] for bibliographies). Both fields play a decisive role in multiobjective combinatorial optimization, for which the class of (multiobjective) portfolio selection is of particularly high practical relevance (cf. [10] for a survey). Research and development (R&D) ...

متن کامل

Multiobjective Multicast Routing with Ant Colony Optimization

This work presents a multiobjective algorithm for multicast traffic engineering. The proposed algorithm is a new version of MultiObjective Ant Colony System (MOACS), based on Ant Colony Optimization (ACO). The proposed MOACS simultaneously optimizes the maximum link utilization, the cost of the multicast tree, the averages delay and the maximum end-to-end delay. In this way, a set of optimal so...

متن کامل

Multiobjective Combinatorial Optimization by Using Decomposition and Ant Colony

Combining ant colony optimization (ACO) and multiobjective evolutionary algorithm based on decomposition (MOEA/D), this paper proposes a multiobjective evolutionary algorithm, MOEA/D-ACO. Following other MOEA/D-like algorithms, MOEA/D-ACO decomposes a multiobjective optimization problem into a number of single objective optimization problems. Each ant (i.e. agent) is responsible for solving one...

متن کامل

ذخیره 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: International Journal of RF and Microwave Computer-Aided Engineering

سال: 2009

ISSN: 1096-4290

DOI: 10.1002/mmce.20382