An efficient survey of numerous traditional metaheuristic algorithms (MAs) has been
investigated in this paper. Among successful MAs, differential evolution (DE) and particle …

The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …

A widespread survey of numerous traditional meta-heuristic algorithms has been
investigated category wise in this paper. Where, particle swarm optimization (PSO) and …

This paper designed an advanced hybrid algorithm (h aDEPSO) to solve the optimization
problems, based on multi-population approach. It integrated with suggested advanced DE …

As an unconventional resource, shale reservoirs recently have attracted considerable
attention in the petroleum industry. Shale plays are highly heterogenous vertically and …

This paper presents an innovative hybrid algorithm (ih PSODE) for economic load dispatch
(ELD) problems with or without valve‐point effects. It integrated with suggested novel PSO …

Particle swarm optimization (PSO) and differential evolution (DE) are two efficient meta-
heuristic algorithms, achieving excellent performance in a wide variety of optimization …

在大斜度井/水平井环境下, 阵列侧向测井受钻井液侵入, 地层倾角和各向异性等多种因素影响,
导致测井响应复杂, 需借助反演手段提取地层真实电阻率. 然而, 阵列侧向测井三维正演效率低 …

Differential evolution (DE) is favored by scholars for its simplicity and efficiency, but its ability
to balance exploration and exploitation needs to be enhanced. In this paper, a hybrid …

The purpose of this study was to optimise directional drilling of exploration wells in the
Caspian Sea area of Turkmenistan to improve efficiency and reduce environmental impact …