نتایج جستجو برای: multi objective big bang big crunch algorithm mobba

تعداد نتایج: 1697324  

A well-known clustering algorithm is K-means. This algorithm, besides advantages such as high speed and ease of employment, suffers from the problem of local optima. In order to overcome this problem, a lot of studies have been done in clustering. This paper presents a hybrid Extended Cuckoo Optimization Algorithm (ECOA) and K-means (K), which is called ECOA-K. The COA algorithm has advantages ...

2004
CLAUS GERHARDT

We consider a brane N = I × S0, where S0 is an ndimensional space form, not necessarily compact, in a SchwarzschildAdS(n+2) bulk N and prove that, for specific negative pressures on the brane, the brane is an ARW space. By reflecting N and N to N̂ and N̂ , the joint branes N ∪ N̂ can be naturally embedded as a C∞hypersurface in R2 ×S0, if n is odd and if ω = − n−1 2 is chosen, a value that corresp...

2005
Thomas Hertog Gary T. Horowitz

To gain insight in the quantum nature of the big bang, we study the dual field theory description of asymptotically anti-de Sitter solutions of supergravity that have cosmological singularities. The dual theories do not appear to have a stable ground state. One regularization of the theory causes the cosmological singularities in the bulk to turn into giant black holes with scalar hair. We inte...

This paper aims at optimizing the finite isotropic plates with the hexagonal cutout subjected to  plane loading using metaheuristic optimization algorithms. This research uses Differential Evolution Algorithm (DE) and Harmony Search Algorithm (HSA) from the evolutionary algorithm category, Big Bang- Big Crunch Algorithm (BB-BC) from the physics-based algorithm category, and Grey Wolf Optimizer ...

2014
Renuga VERAYIAH Azah MOHAMED Hussain SHAREEF Izham ZAINAL ABIDIN

Load shedding has been extensively studied because of multiple power system failure occurrences worldwide. Reliable techniques are required to provide rapid and precise load shedding to avert voltage collapse in power networks. Meta-heuristic optimization approaches are currently the widely developed methods because of their robustness and flexibility in dealing with complex and non-linear syst...

Journal: :Computer Systems Science and Engineering 2020

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