Survey on Recent Bio-Inspired Optimization
Algorithms
Authors :
Rowida Ali AL.Amry; Ghaleb AL-Gaphari
Bio inspired algorithms are meta-heuristic optimization algorithm that mimics the intelligence features from
biologic behavior in animal , bird, fish and so on. Bio inspired algorithms considered as a major subset of nature inspired algorithm.
They become very important in computing a wide range of applications in different domains .The main goal of this paper is to make a
literature survey of some recent bio inspired algorithms to investigate the reasonable performance of the current algorithms and
predicting suitable algorithms for solving optimization problems. In this paper, some recent research papers of bio inspired algorithms
are summarized such as bat algorithm (BA), cuckoo optimization algorithm (COA) , krill herd algorithm (KHA), dolphin echolocation
algorithm (DEA), grey wolf algorithm (GWA) and crow search algorithm (CSA).The paper focuses on algorithms concepts,
behavior ,principles , mathematical models and algorithms steps. In addition to experiments evaluation and the advantages of each
algorithm. Implementation of bio inspired algorithms is more efficient compared to conventional algorithms in terms of optimization
problems solutions.
Published In : IJCSN Journal Volume 7, Issue 6
Date of Publication : December 2018
Pages : 327-338
Figures : 06
Tables : 01
Rowida Ali AL.Amry :
Department of Computer Science, Sana'a University, Sana 'a , Yemen
Ghaleb AL-Gaphari :
Department of Computer Science, Sana'a University, Sana'a , Yemen
Optimization algorithms, Bio-inspired Algorithms, Meta-heuristic, Optimization problems.
As an overview of a modified method for optimal
power control in mesh MGs, this paper involved
fundamental concepts of the main methodologies. An OPF
theory based agent consensus performances was modeled,
and for information discovery, ACA was enabled.
Regrouping these specifications has led to a fully
information discovery process which was distributed such
that each node only needs to communicate with its direct
neighbors. Simulation results provides optimal solution in
terms of rapid iteration convergence and gives an
alternative to the previously ACA algorithms in the case of
small meshed MG systems. In contrast, it should be
necessary to overhaul the test model with a high number of
DERs and for a more realistic setup, more effort should be
put on a description of flexible DERs and its costs settings.
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