1975
DOI: 10.1016/0010-4485(75)90065-2
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Practical application of a penalty function approach to constrained minimax optimization

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Cited by 4 publications
(5 citation statements)
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“…Bandler and Srinivasan [42,155] suggested an unconstrained minimax objective for a constrained minimax problem. The constrained problem is to minimize M/ of (32) subject to …”
Section: Minimax Optimization Of Constrained Problemsmentioning
confidence: 99%
“…Bandler and Srinivasan [42,155] suggested an unconstrained minimax objective for a constrained minimax problem. The constrained problem is to minimize M/ of (32) subject to …”
Section: Minimax Optimization Of Constrained Problemsmentioning
confidence: 99%
“…Let R& be an oracle which can check whether a sct is independent, whether it is a banis, i.e., R niaxlnial independent set, whethcr it is it circuit, i.e. a itiiniriial Iiori-indCpendei~t srt, and whether the incidence vectors k", L" of two subsets S , Y' C_ E are adjacent vertices of the polytopc P ( E , 3) which is the convex hull of the incidence vectors xp, F E 3. Then a similar construction ax in t'he proof of Tlitwrciti I holds evrii if Rg is replaced by tho more inforiiiative oracle Ri.…”
Section: ; a ' ( / ? ' ( ( T -A A ' ) I ' ) ' ) 7 / mentioning
confidence: 99%
“…Reference is made to earlier papers for details and derivations. The annotated bibliography by LEA [2] and the text by FRANCIS [3] provide an overview and give an idea of the emphasis of current research in allocation problems. A necessar?y condition of optimality is that WI be stationary under a variation in sup& point density, yielding [4] This condition has been applied to show that the distribution center density that minimizes the .mean distance (as measured by any norm : Euclidean, Manhattan, p-norm, etc.)…”
Section: Catalog Optimizationmentioning
confidence: 99%
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