Evolutionary algorithms are bio-inspired that can easily adapt to changing environments. Recent results in the area of runtime analysis have pointed out such as (1+1)~EA and Global SEMO efficiently reoptimize linear functions under a dynamic uniform constraint. Motivated by this study, we investigate single- multi-objective baseline evolutionary for classical knapsack problem where capacity var...

Abstract With the development of big data and artificial intelligence, cloud resource requests present more complex features, such as being sudden, arriving in batches diverse, which cause allocation to lag far behind an unbalanced utilization that wastes resources. To solve this issue, paper proposes a proactive method based on adaptive prediction computing. Specifically, first runs test impro...

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system — cascade-based operation scenario. For this, we propose new mathematical modeling which goal is to maximize total energy production of plant sub-daily operation, and, simultaneously, water content (volume) reservoirs. solving problem, discuss Multi-objective Evolutionary Swarm Hybridization (MESH)...

Recent advanced high-throughput field phenotyping combined with sophisticated big data analysis methods have provided plant breeders unprecedented tools for a better prediction of important agronomic traits, such as yield and fresh biomass (FBIO), at early growth stages. This study aimed to demonstrate the potential use 35 selected hyperspectral vegetation indices (HVI), collected R5 stage, pre...

Metaheuristics in recent years has proven its effectiveness; however, robust algorithms that can solve real-world problems are always needed. In this paper, we suggest the first extended version of recently introduced gaining–sharing knowledge optimization (GSK) algorithm, named multiobjective (MOGSK), to deal with (MOPs). MOGSK employs an external archive population store nondominated solution...

The anti-aircraft system plays an irreplaceable role in modern combat. An consists of various types functional entities interacting to destroy the hostile aircraft moving high speed. connecting structure combat it is great importance for supporting normal process system. In this paper, we explore optimizing strategy network by establishing extra communication channels between entities. Firstly,...

Abstract With the continuous development of science and technology, electronic devices have begun to enter all aspects human life, becoming increasingly closely related life. Users higher quality requirements for devices. Electronic device testing has gradually become an irreplaceable engineering process in modern manufacturing enterprises guarantee products while preventing inferior from enter...

Accelerated population growth in the 21st century and increased demand for energy sources, associated with climate change, have resulted two main challenges: search sustainable sources need to find more efficient ways use extant sources. The forecasting module provides an estimate of future usage these appliances it is source recommended module’s suggestion. Time Series Forecasting techniques, ...

A Strength Pareto Evolutionary Algorithm 2 (SPEA 2) approach for solving the multi-objective Environmental / Economic Power Dispatch (EEPD) problem is presented in this paper. In past fuel cost consumption minimization was aim (a single objective function) of economic power dispatch problem. Since clean air act amendments have been applied to reduce SO2 and NOX emissions from plants, utilities ...