due to business and environmental issues, the efficient design of an integrated forward/reverse logistics network has recently attracted more attention from researchers. the significance of transportation cost and customer satisfaction spurs an interest in developing a flexible network design model with different delivery paths. this paper proposes a flexible mixed-integer programming model to ...

Due to business and environmental issues, the efficient design of an integrated forward/reverse logistics network has recently attracted more attention from researchers. The significance of transportation cost and customer satisfaction spurs an interest in developing a flexible network design model with different delivery paths. This paper proposes a flexible mixed-integer programming model to ...

An efficient way to reduce the dynamic power dissipation in the turbo decoder is presented. This technique is based on a dynamic re-encoding of the received messages. The idea is to decrease the state transition activity of the trellis-based algorithms by replacing the classical direct decoding of the random noisy codewords by an equivalent decoding of an almost “all zero” codewords in order to...

consider the random walk among n places with n(n - 1)/2 transports. we attach an exponential random variable xij to each transport between places pi and pj and take these random variables mutually independent. if transports are possible or impossible independently with probability p and 1-p, respectively, then we give a lower bound for the distribution function of the smallest path at point log...

probabilistic approach of traffic assignment has been primarily developed to provide a more realistic and flexible theoretical framework to represent traveler’s route choice behavior in a transportation network. the problem of path overlapping in network modelling has been one of the main issues to be tackled. due to its flexible covariance structure, probit model can adequately address the pro...

Abstract The distribution/allocation problem is known as one of the most comprehensive strategic decision. In real-world cases, it impossible to solve a in traditional ways with acceptable time. Hence researchers develop efficient non-traditional techniques for large-term operation whole supply chain. These provide near optimal solutions particularly large-scale test problems. This paper presen...

I describe and study the ‘support encoding’ of binary constraint satisfaction problems (CSP’s) into boolean satisfiability (SAT). This is based on work by Kasif in 1990, in which clauses encode support information, rather than the encoding of conflicts in the standard ‘direct encoding’. This enables arc consistency in the original CSP to be established by propagation in the translated SAT insta...