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MVO algorithm for optimization purposes
4.0
<span style="font-size:10.0pt;line-height:112%;font-family:"color:black;">The main inspirations of this algorithm arebased on three concepts in cosmology: white hole, black hole, and wormhole. Themathematical models of these three concepts are developed to perform exploration,exploitation, and local search, respectively. The MVO algorithm is firstbenchmarked on 19 challenging test problems. It is then applied to five realengineering problems to further confirm its performance
omidomid
2018-03-04
1
1
this a code of mine for you to use in your huristi
no vote
Generally speaking, truss designproblems are very popular in the literature of meta-heuristics . Theobjective is to design a truss with the minimum weight that does not violatethe constraints. The most important issue in designing truss is constraintsthat include stress, deflection, and buckling constraints. shows the structural parameters of this problem. <span style="font-size:10.0pt;line-height:112%;font-family:"color:black;">The employed test functions can be divided intothree groups: unimodal, multi-modal, and composite. Unimodal test functionshave one global optimum, so they are suitable for benchmarking the exploitationof algorithms. The multi-modal test functions, however, have a global optimumas well as multiple local optima with number exponentially increasing wi
omidomid
2018-01-14
1
1
No more~