1996
DOI: 10.1016/0305-0548(96)00008-1
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Effectiveness of a geometric programming algorithm for optimization of machining economics models

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Cited by 46 publications
(17 citation statements)
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“…Therefore, it follows that the applications of problem (P1) include, for example, all of the applications of problem (GGP). It is well known that (GGP) has spawn a wide variety of applications since its initial development, specially in engineering design [1,4,11,14], economics and statistics [3,6,9,10], manufacturing [20,21] and chemical equilibrium [12,18] etc.…”
Section: Applicationsmentioning
confidence: 99%
“…Therefore, it follows that the applications of problem (P1) include, for example, all of the applications of problem (GGP). It is well known that (GGP) has spawn a wide variety of applications since its initial development, specially in engineering design [1,4,11,14], economics and statistics [3,6,9,10], manufacturing [20,21] and chemical equilibrium [12,18] etc.…”
Section: Applicationsmentioning
confidence: 99%
“…Its attractive structural properties as well as its elegant theoretical basis have led to a number of interesting applications and the development of numerous useful results. The integrated circuit design [5,11,18], engineering design [4,21], project management [26], and inventory management [3,12,13,17,25,27] are the examples. One of the remarkable properties of geometric programming is that a problem with highly nonlinear constraints can be stated equivalently as one with only linear constraints.…”
Section: Introductionmentioning
confidence: 99%
“…(Govil [2,3], Mahapatra and Roy [4], Mahapatra and Mahapatra [5]), engineering design (Choi and Bricker [6], Prasad et al [7]), integrated circuit design (Chu and Wong [8], Hershenson et al [9], Mandal and Visvanathan [10]), inventory management (Cheng [11], Kim and Lee [12], Lee [13], Jung and Klein [14], Abuo El Ata et al [15], Worrall and Hall [16], Liu [17]), project management (Scott and Jefferson [18]), etc. The most remarkable property of geometric programming is that a problem with highly nonlinear constraints can be transformed equivalently into a problem with only linear constraints.…”
mentioning
confidence: 99%