The influence of inertia weight on the particle swarm optimization algorithm
نویسندگان
چکیده
منابع مشابه
A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm
Particle swarm optimization (PSO) is an evolutionary computing method based on intelligent collective behavior of some animals. It is easy to implement and there are few parameters to adjust. The performance of PSO algorithm depends greatly on the appropriate parameter selection strategies for fine tuning its parameters. Inertia weight (IW) is one of PSO's parameters used to bring about a balan...
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In Particle Swarm Optimization (PSO), setting the inertia weight w is one of the most important topics. The inertia weight was introduced into PSO to balance between its global and local search abilities. In this paper, first, we propose a method to adaptively adjust the inertia weight based on particle’s velocity information. Second, we utilize both position and velocity information to adaptiv...
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Among variety of meta-heuristic population-based search algorithms, particle swarm optimization (PSO) with adaptive inertia weight (AIW) has been considered as a versatile optimization tool, which incorporates the experience of the whole swarm into the movement of particles. Although the exploitation ability of this algorithm is great, it cannot comprehensively explore the search space and may ...
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بر اساس نظریه افلاطون در باره شعر خلاقیت هنری مورد انتقاد قرار گرفته است. نظریه کلی در مورد شعر این بود که شعر از ظواهرتقلید میکند و نه حقیقت. چون سایه ای از حقیقت است. اما با پیدایش فلسفه نو افلاطونی، انتقاتات قبلی در مورد شعر و شاعری اصلاح شد. فلوطین در کتاب انئید، اساس خلق هنری را بر محور مُثل افلاطونی قرار داد. وی باور داشت که هنر مندان در خلق آثار هنری، تحت تاثیر مُثل افلاطونی بوده و عوالمی ...
On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization
Linear decreasing inertia weight (LDIW) strategy was introduced to improve on the performance of the original particle swarm optimization (PSO). However, linear decreasing inertia weight PSO (LDIW-PSO) algorithm is known to have the shortcoming of premature convergence in solving complex (multipeak) optimization problems due to lack of enough momentum for particles to do exploitation as the alg...
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ژورنال
عنوان ژورنال: Journal of Applied Mathematics and Computational Mechanics
سال: 2018
ISSN: 2299-9965,2353-0588
DOI: 10.17512/jamcm.2018.4.01