This paper presents a genetic algorithm based optimization procedure for the scheduling of tandem cold rolling mills.
The paper presents a novel superstructure based optimization procedure for design a sequence of distillation columns for separating a non azeotropic n component mixture.
The model coefficients are identified using a multiple step genetic algorithm based optimization procedure designed for large scale optimization problems.
The optimization is completed by a simulation based optimization procedure, OptQuest, which integrates various heuristic methods.
This paper presents evolutionary-based optimization procedures for designing conical reinforced concrete water tanks.
The procedure for reliability based optimization described in Section 3 has been applied to the model described above.
This paper presents a design procedure employing a Teaching Learning Based Optimization (TLBO) technique for discrete optimization of planar steel frames.
Consequently, the majority of the proposed techniques are based on optimization procedures as the search heuristics.
In this work, optimization procedures for quick, routine analysis were guided using statistical analysis based on the total silymarin levels.
A numerical study elucidates the importance of the RDO procedure for design of base isolation system by comparing the proposed RDO results with the results obtained by the conventional stochastic structural optimization procedure and the unconditional response based optimization.
Consequently, there is need for efficient optimization procedures for submodular functions, especially for minimization problems.
