نتایج جستجو برای: biographic based optimization algorithm

تعداد نتایج: 3489544  

Journal: :journal of ai and data mining 2013
morteza haydari mahdi banejad amin hahizadeh

restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the distributed generation (dg) resources. dg units due to its specifications, technology and location network connectivity can improve system and load point reliability indices. in this paper, the allocation and sizing of di...

In this paper, a general framework was presented to boost heuristic optimization algorithms based on swarm intelligence from static to dynamic environments. Regarding the problems of dynamic optimization as opposed to static environments, evaluation function or constraints change in the time and hence place of optimization. The subject matter of the framework is based on the variability of the ...

Journal: :Advances in Geo-Energy Research 2018

Journal: :International Journal on Smart Sensing and Intelligent Systems 2016

Journal: :Mathematical Problems in Engineering 2013

Journal: :Transactions of the Society of Instrument and Control Engineers 1987

Journal: :Journal of artificial intelligence practice 2023

Coverage optimization is one of the basic problems in wireless sensor networks. reflects service quality provided by Swarm intelligence algorithm an method inspired natural organisms. Node coverage also problem. can solve problem Therefore, this paper focuses on application swarm networks, and proposes a strategy based algorithm: three-dimensional networks equilibrium algorithm. In algorithm, p...

Journal: :Applied sciences 2023

The beetle antennae search (BAS) algorithm is an outstanding representative of swarm intelligence algorithms. However, the BAS still suffers from deficiency not being able to handle high-dimensional variables. A quantum-based optimization (QBSO) proposed herein address this deficiency. In order maintain population diversity and improve avoidance falling into local optimal solutions, a novel qua...

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