In the design of a hydro-mechanical transmission the achievement of high efficiency is one
of the most important objectives. Furthermore, the available space for the transmission is …

Methods for searching for the optimum chiller configuration for a heat source plant were
examined. In addition to the genetic algorithm (GA), a hybrid of the GA and the Nelder–Mead …

This paper presents results of a comparative study with the objective to identify the most
effective and efficient way of applying a local search method embedded in a hybrid …

In this article two linear problems with random Gaussian loading are transformed into multi-
objective optimization problems. The first problem is the design of a pillar geometry with …

The key issue for an efficient and reliable multi-objective evolutionary algorithm (MOEA) is
the ability to converge to the True Pareto Front with the least number of objective function …

In investment market, investors often pay attention to investment portfolio selection and asset
allocation under market risk. Thus, this study presents a two-stage method of investment …

Economic design of a control chart involves determining its basic parameters such that a
cost function is minimized. This design when statistical performance measures are also …

Finding global optimal solution for a non-linear optimization problem with high complexity
became a challenge for the researchers. Evolutionary optimization process is being treated …

This paper presents a genetic-based hybrid algorithm that combines the exploration power
of Genetic Algorithm (GA) with the exploitation capacity of a phenotypical probabilistic local …

The key issue for an efficient and reliable multiobjective evolutionary algorithm is the ability
to converge to the True Pareto Front with the least number of objective function evaluations …