In this paper, a neighborhood mutation strategy is proposed and integrated with various
niching differential evolution (DE) algorithms to solve multimodal optimization problems …

In practical situations, it is very often desirable to detect multiple optimally sustainable
solutions of an optimization problem. The population-based evolutionary multimodal …

This paper investigates a multi-product manufacturer–retailer supply chain where demand of
each product is jointly influenced by price and advertising expenditure. We propose a …

In this study, the evolution strategy, which is one of the evolutionary algorithms, is modified
to solve mixed–discrete optimization problems. Three approaches are proposed for …

This paper introduces a method based on multi-objective evolutionary algorithms for the
determination of in-service induction motor efficiency. In general, the efficiency is determined …

In this paper, a Modified micro Genetic Algorithm (MmGA) is proposed for undertaking Multi-
objective Optimization Problems (MOPs). An NSGA-II inspired elitism strategy and a …

This paper aimed at using the niche-fitness analysis method to assess soil fertility of
cultivated land in Jianghan Plain in China. By introducing the niche-fitness theory into …

This paper presents a bi-objective flowshop scheduling problem with sequence-dependent
setup times. The objective functions are to minimize the total completion time and the total …

The paper deals with a global optimization algorithm using hybrid approach. To take the
advantage of global search capability the evolution strategy (ES) with some modifications in …

Parameter calibration is an important step in the development of rainfall–runoff models.
Recently, there has been a significant focus on automatic calibration. In this paper, two …