Guo et al. ([2008b]) developed an interval-parameter two-stage stochastic semi-infinite programming (ITSSIP) method, which integrates CCP, two-stage stochastic programming, interval programming, and semi-infinite programming within a general optimization framework.
Guo et al. ([2008a]) conducted an inexact stochastic mixed integer linear semi-infinite programming (ISMISIP) model for municipal solid waste management, which incorporates CCP, integer programming, interval parameter programming, and semi-infinite programming within a general waste management problem.
The most important one is that in Constraint Programming, interval arithmetic allows us to bound numeric errors appearing when doing calculations.
The INP can be classified as fuzzy nonlinear programming, stochastic nonlinear programming, and interval nonlinear programming.
But at programmed intervals it blinks.
Unlike the more familiar passive RFID chips used in Oyster cards and passports, where a reader must send a signal for the chip to be able to send its data, active RFID chips broadcast a burst of radio waves at programmed intervals – anything from multiple times a second to once every four or five minutes – and carrying up to several hundred metres.
A crossing in central London had programmed intervals for red and green lights, for example.
The results indicate that the majority of inexact programming methods can be categorized as two-stage stochastic programming, chance-constrained programming, fuzzy flexible programming, fuzzy robust programming, interval-parameter programming, mixed-integer programming, multiple-objective programming, and nonlinear programming.
The sub-sections include: two-stage stochastic programming, chance-constrained programming, fuzzy flexible programming, fuzzy robust programming, interval-parameter programming, inexact mixed-integer programming, inexact multiple-objective programming, and inexact nonlinear programming.
