نتایج جستجو برای: biogeography based optimization algorithm

تعداد نتایج: 3493556  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی (نوشیروانی) بابل - دانشکده مهندسی مکانیک 1389

due to the limiting workspace of parallel manipulator and regarding to finding the trajectory planning of singularity free at workspace is difficult, so finding a best solution that can develop a technique to determine the singularity-free zones in the workspace of parallel manipulators is highly important. in this thesis a simple and new technique are presented to determine the maximal singula...

2012
A. Kuifeng Su B. Zhidong Deng Zhen Huang

The main challenge with particle filtering is particle degeneracy and the accurate estimation cannot be achieved generally because of serious impoverishment problem, although resampling operation could solve degeneracy to a certain extent. In this paper, we propose an improved particle filtering approach based on biogeography-based optimization (BBO) algorithm, called BBO-PF, for state estimati...

Journal: :international journal of optimaization in civil engineering 0
r. mansouri m. mohamadizadeh

for any agency dealing with the design of the water distribution network, an economic design will be an objective. in this research, central force optimization (cfo) and differential evolution (de) algorithm were used to optimize ismail abad water distribution network. optimization of the network has been evaluated by developing an optimization model based on cfo and de algorithm in matlab and ...

2012
Sevugarathinam MUTHU VIJAYA PANDIAN Keppanagowder THANUSHKODI

Economic dispatch (ED) is one of the most important optimization problems in a power system. The objective of ED is sharing the power demand among the online generators while keeping the minimum cost of generation as a constraint. The aim of this paper is to operate an electric power system as economically as possible within its security limits. This paper proposes the following 2 new particle ...

2010
Jeffrey Abell Dawei Du

Multi-objectives and multi-constraints problems are a big challenge in the industry, and they are also difficult to be conquered by traditional methods. In this situation, heuristic algorithms become an executable choice when facing this kind of problems. In this paper, we introduce the complex system which is more complicated than normal multi-objectives and multi-constraints problems. For eac...

2016
Rohit Kumar Yadav Haider Banka

In bioinformatics, multiple sequence alignment (MSA) is an NP-hard problem. Hence, nature-inspired techniques can better approximate the solution. In the current study, a novel biogeography-based optimization (NBBO) is proposed to solve an MSA problem. The biogeography-based optimization (BBO) is a new paradigm for optimization. But, there exists some deficiencies in solving complicated problem...

Maximum surface settlement (MSS) is an important parameter for the design and operation of earth pressure balance (EPB) shields that should determine before operate tunneling. Artificial intelligence (AI) methods are accepted as a technology that offers an alternative way to tackle highly complex problems that can’t be modeled in mathematics. They can learn from examples and they are able...

2016
Priyanka Yadav Sucheta yadav

Wireless sensor network consist of hundred to thousand of sensor nodes with limited energy capacity. It is generally difficult to recharge or replace these sensor nodes. Energy efficiency is thus a primary issue to maintain a wireless network. The problem of energy depletion of nodes is common for all data collection scenarios in which cluster head have a heavy burden of gathering and relaying ...

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