Convergence of an annealing algorithm
Mathematical Programming: Series A and B
Earliness/tardiness production planning approaches for manufacturing systems
Computers and Industrial Engineering - Collection of papers on Computer-Integrated Manufacturing
SIPAMPL: Semi-infinite programming with AMPL
ACM Transactions on Mathematical Software (TOMS)
Solving semi-infinite programming problems by using an interface between MATLAB and SIPAMPL
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
An immune-genetic algorithm for introduction planning of new products
Computers and Industrial Engineering
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To describe the earliness/tardiness production planning problems in the JIT environment, a nonlinear semi-infinite programming model was proposed in [1]. Due to a nonconvex objective function and infinitely many constraints, the model is difficult to solve by traditional methods. In this paper, simulated annealing method combined with a heuristic and the steepest descent method is developed. Numerical results shows that the present approach is very efficient. In theory, the developed method is an attempt to solve a continuous domain problem by simulated annealing.