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CrossDual on The Golden Optimum Solutions
"... This paper owes its origin to two simple minimization problems. One is a shortest distance problem on the plane. The other is a ratio minimization problem over the unit interval. We associates each of two minimization problems with a counterpart “maximization problem. Thus we consider two couples o ..."
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quadratic constraint. An optimum solution – optimum point and optimum value – is called Golden if both the slope and the optimum value constitute the Golden ratio. We show two interesting features. One is the Golden optimum solution. All six problems have the Golden optimum slutions. The other is a cross
OPTIMUM SOLUTIONS FOR GROWERFINISHER PIGS
"... Dynamic integrated models, such as Watson®, are available and being used to improve performance and profitability of finishing pigs by enhancing the decisionmaking process. One of the main purposes of an integrated management approach is to bring together the complex interactions between the animal ..."
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of these changes; and therefore, 3) the optimum nutritional and/or financial strategy. It is important to note that optimum solutions are farmspecific and no one solution fits all because of the inherent differences in production characteristics on each farm (e.g health status, genetics, housing, ingredient
Monopolistic competition and optimum product diversity. The American Economic Review,
, 1977
"... The basic issue concerning production in welfare economics is whether a market solution will yield the socially optimum kinds and quantities of commodities. It is well known that problems can arise for three broad reasons: distributive justice; external effects; and scale economies. This paper is c ..."
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Cited by 1911 (5 self)
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The basic issue concerning production in welfare economics is whether a market solution will yield the socially optimum kinds and quantities of commodities. It is well known that problems can arise for three broad reasons: distributive justice; external effects; and scale economies. This paper
The Advantages of Evolutionary Computation
, 1997
"... Evolutionary computation is becoming common in the solution of difficult, realworld problems in industry, medicine, and defense. This paper reviews some of the practical advantages to using evolutionary algorithms as compared with classic methods of optimization or artificial intelligence. Specific ..."
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Cited by 541 (6 self)
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advantages include the flexibility of the procedures, as well as the ability to selfadapt the search for optimum solutions on the fly. As desktop computers increase in speed, the application of evolutionary algorithms will become routine. 1 Introduction Darwinian evolution is intrinsically a robust search
Finding globally optimum solutions in antenna optimization problems
 IEEE International Symposium on Antennas and Propagation
, 2010
"... During the last decade, the unprecedented increase in the affordable computational power has strongly supported the development of optimization techniques for designing antennas. Among these techniques, genetic algorithm [1] and particle swarm optimization [2] could be mentioned. Most of these techn ..."
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Cited by 3 (2 self)
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During the last decade, the unprecedented increase in the affordable computational power has strongly supported the development of optimization techniques for designing antennas. Among these techniques, genetic algorithm [1] and particle swarm optimization [2] could be mentioned. Most of these techniques use physical dimensions of an antenna
Obtaining exact solution from a near optimum solution for convex QP
, 1992
"... Consider a convex quadratic program of size L involving m inequality constraints and possibly some equality constraints in n variables. Given a feasible solution whose objective value is within 2^2L of the optimum objective value, we discuss a technique that finds a true optimum solution in at most ..."
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Consider a convex quadratic program of size L involving m inequality constraints and possibly some equality constraints in n variables. Given a feasible solution whose objective value is within 2^2L of the optimum objective value, we discuss a technique that finds a true optimum solution
Compaction Filter as an Optimum Solution for Multirate Subband Coder of Cyclostationary Signals
"... Abstract. A consistent theory of optimum subband coding of zero mean widesense cyclostationary signals with Nperiodic statistics is presented in this paper. Blocked polyphase representation of the analysis and synthesis filter banks is introduced as an effective way of multirate subband coder de ..."
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description. Optimum energy compaction using NyquistM process is presented as a solution for maximizing the coding gain of the coder. In two definitions and four theorems the author proves that NyquistM filters fulfill necessary and sufficient conditions imposed on subband signals. Results from Matlab
An Optimum Solution to 8 Puzzle Problem using Particle Swarm Optimization
"... Abstract: The 8puzzle problem is one of the most classical problems in artificial intelligence. In this problem starting from current state we reach to the goal state through state space search procedure which depends on the number and position of misplaced tiles in the current state as compared wi ..."
Predictive Models for the Breeder Genetic Algorithm  I. Continuous Parameter Optimization
 EVOLUTIONARY COMPUTATION
, 1993
"... In this paper a new genetic algorithm called the Breeder Genetic Algorithm (BGA) is introduced. The BGA is based on artificial selection similar to that used by human breeders. A predictive model for the BGA is presented which is derived from quantitative genetics. The model is used to predict t ..."
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Cited by 400 (25 self)
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the behavior of the BGA for simple test functions. Different mutation schemes are compared by computing the expected progress to the solution. The numerical performance of the BGA is demonstrated on a test suite of multimodal functions. The number of function evaluations needed to locate the optimum scales
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