Abstract Multi-objective particle swarm optimization algorithms encounter significant challenges when tackling many-objective problems. This is mainly because of the imbalance between convergence and diversity that occurs increasing selection pressure. In this paper, a novel adaptive MOPSO (ANMPSO) algorithm based on R2 contribution method developed to improve performance MOPSO. First, new glob...

Abstract In breast cancer image analysis, reliable segmentation of the nuclei is still an open-ended research problem. this paper, a new clustering-based method presented. First, proposed pre-processes histopathology through SLIC method. Then, novel variant multi-objective grey wolf optimizer employed to group obtained super-pixels into optimal clusters. Lastly, cluster with minimum value segme...

An efficient approach to the geometry optimization problem of a non-axisymmetric flow channel is discussed. The method combines geometrical transformation with computational fluid dynamics solver, multi-objective genetic algorithm, and response surface. This approach, through modifications simplifications allows transforming into axisymmetric one in some specific devices i.e., scroll distributo...

Abstract System design deals with various challenges of targets and resources, such as reliability, availability, maintainability, cost, weight, volume, configuration. This paper the multi-objective system availability cost optimization parallel–series systems by resorting to strawberry algorithm also known Plant Propagation Algorithm or PPA a fuzzy method. It is first implementation this in li...

The development of science and technology is often accompanied by higher requirements for energy. Wave energy a kind renewable which can not be ignored. It widely distributed in the world has wide utilization prospect. In this paper, motion "float" wave device analyzed, it decomposed into one-dimensional case two-dimensional analysis. By adjusting relevant parameters device, efficiency conversi...