Keywords: Discrete minmax
fractional programming, (ph, , o, p, p, th, m)-invex functions, necessary optimality conditions, sufficient optimality conditions.
n] in ([xi], [mu]) which satisfy a minmax
characterization with respect to p, and the safeguarded iterations aiming at [[lambda].
Interpolating in these points will yield good polynomial approximants for the geometry, compared to the minmax
Power announced expansion of their M78A and M78SA switching regulators that are pin-compatible and size-compatible with older and less-efficient LM78xx devices.
Sharma: Second order duality for minmax
fractional programming, Optim.
Competition-based neural network for the multiple traveling salesmen problem with minmax
Mixed Strategies in Strictly Competitive Games: A Further Test of the Minmax
Moreover, most of the previous works usually design LLA by using single-objective optimization techniques, such as GA , particle swarm optimization (PSO) algorithm , differential evolution (DE) algorithm [18,19], or minmax
optimization (MO) algorithm , where all the objectives were combined into a single fitness function by adding different weighting factors to different objectives and the selection of the weighting factors depends highly on the rule of thumb.
En la literatura se encuentran varias formas de seleccionar el umbral, tales como umbrales fijos y la regla minmax
, pero estos son solo adecuados para eliminar ruido blanco.
refers to a part of mixed strategy in zero-sum game used by players in decision making.
The weighted sum C for each individual membership can be defined by using minmax
aggregation  operators as given below:
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