InterCriteria Analysis of Different Hybrid Ant Colony Optimization Algorithms for Workforce Planning

Fidanova, Stefka; Roeva, Olympia; Luque, Gabriel; Paprzycki, Marcin

doi:10.1007/978-3-030-22723-4_5

Cited by 6 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following the increasing scientific interest in the InterCriteria analysis (ICrA) concept [14], a recently developed approach has been applied to detect muscle interactions in shoulder and elbow joints in healthy subjects. ICrA has been used for real-world task solving in various fields, such as medicine [15][16][17], computer-aided drug design [18,19], ecology [20,21], artificial intelligence [22][23][24], e-learning [25], etc. Thus, the idea of testing ICrA to assess the surface EMG activity of upper arm muscles intuitively appears.…”

Section: Introductionmentioning

confidence: 99%

Estimating Surface EMG Activity of Human Upper Arm Muscles Using InterCriteria Analysis

Angelova,

Raikova

2024

MCA

View full text Add to dashboard Cite

Electromyography (EMG) is a widely used method for estimating muscle activity and could help in understanding how muscles interact with each other and affect human movement control. To detect muscle interactions during elbow flexion and extension, a recently developed InterCriteria Analysis (ICrA) based on the mathematical formalisms of index matrices and intuitionistic fuzzy sets is applied. ICrA has had numerous implementations in different fields, including biomedicine and quality of life; however, this is the first time the approach has been used for establishing muscle interactions. Six human upper arm large surface muscles or parts of muscles responsible for flexion and extension in shoulder and elbow joints were selected. Surface EMG signals were recorded from four one-joint (pars clavicularis and pars spinata of M. deltoideus [DELcla and DELspi, respectively], M. brachialis [BRA], and M. anconeus [ANC]) and two two-joint (M. biceps brachii [BIC] and M. triceps brachii-caput longum [TRI]) muscles. The outcomes from ten healthy subjects performing flexion and extension movements in the sagittal plane at four speeds with and without additional load are implemented in this study. When ICrA was applied to examine the two different movements, the BIC–BRA muscle interaction was distinguished during flexion. On the other hand, when the ten subjects were observed, four interacting muscle pairs, namely DELcla-DELspi, BIC-TRI, BIC-BRA, and TRI-BRA, were detected. The results obtained after the ICrA application confirmed the expectations that the investigated muscles contribute differently to the human upper arm movements when the flexion and extension velocities are changed, or a load is added.

show abstract

Section: Introductionmentioning

confidence: 99%

Estimating Surface EMG Activity of Human Upper Arm Muscles Using InterCriteria Analysis

Angelova,

Raikova

2024

MCA

View full text Add to dashboard Cite

show abstract

“…Bastian et al [ 34 ] examined the cyber workforce planning under uncertainity using stochastic programming and robust optimization for US Army. Fidanova et al [ 35 ] presented a hybrid ant colony optimization algorithm to solve the workforce problem. Other studies based on mathematical model in different fields are Ebadizadeh and Lezgi [ 36 ], Farokhi [ 37 ], Davtalab and Ebadizadeh [ 38 ], Sanei and Hassasi [ 39 ] and Canıtez et al [ 40 ].…”

Section: Literature Reviewmentioning

confidence: 99%

A new mathematical model for determining optimal workforce planning of pilots in an airline company

Akyurt

Kuvvetli

Deveci

et al. 2021

Complex Intell. Syst.

View full text Add to dashboard Cite

This study aims to model a workforce-planning problem of pilot roles which include captain and first officer in an airline company and to make an efficient plan having maximal utilization of minimum workforce requirements. To tackle this problem, a mixed integer programming based a new mathematical model is proposed. The model considers different conditions such as employing pilots with different skill types, resignations, retirements, holidays of pilots, transitions between different skills regarding needs of the demands during the planning horizon. The application of the proposed approach is investigated using a case study with real-world data from an airline company in Turkey. The results show that a company can use transitions instead of new employment and this is a more suitable medium-term production and human resource planning decision.

show abstract

“…One of the algorithms used in this study is an ant colony optimization algorithm for continuous domains [44]. For the continuous optimization problem, a model can be formulated as P = (S Ω•f), where S defines all finite sets of discrete decision variables, Ω defines constraints between variables and a target function (f : S → R0+) which must be minimized or maximized [43], [45]. It should be noted that in ant colony optimization, the basis of work is the gradual construction of solutions based on the probability of solution components and the probability values are calculated based on the pheromone values of each component [46], [47].…”

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

Prediction of tunnel boring machine penetration rate using ant colony optimization, bee colony optimization and the particle swarm optimization, case study: Sabzkooh water conveyance tunnel

Afradi¹,

Ebrahimabadi²,

Hallajian³

2020

Min. miner. depos.

View full text Add to dashboard Cite

The purpose of this study is to use a novel approach to estimate the tunnel boring machine (TBM) penetration rate in diverse ground conditions. Methods. The methods used in this study include ant colony optimization (ACO), bee colony optimization (BCO) and the particle swarm optimization (PSO). Moreover, a comprehensive database was created based on machine performance using penetration rate (m/h) as an output parameteras well as intact rock and rock mass parameters including uniaxial compressive strength (UCS) (MPa), Brazilian tensile strength (BTS) (MPa), rock quality designation (RQD) (%), cohesion (MPa), elasticity modulus (GPa), Poisson's ratio, density(g/cm 3 ), joint angle (deg.) and joint spacing (m) as input parameters. Findings. Results showed that the analyses yielded several realistic and reliable models for predicting penetration rate of TBMs. ACO model has R 2 = 0.8830 and RMSE = 0.6955, BCO model has R 2 = 0.9367 and RMSE = 0.5113 and PSO model has R 2 = 0.9717 and RMSE = 0.3418. Originality. Prediction of TBM penetration rate using these methods has been carried out in the Sabzkooh water conveyance tunnel for the first time. Practical implications. According to the results, all three approaches are very effective but PSO yields more precise and realistic findings than other methods.

show abstract

InterCriteria Analysis of Different Hybrid Ant Colony Optimization Algorithms for Workforce Planning

Cited by 6 publications

References 25 publications

Estimating Surface EMG Activity of Human Upper Arm Muscles Using InterCriteria Analysis

Estimating Surface EMG Activity of Human Upper Arm Muscles Using InterCriteria Analysis

A new mathematical model for determining optimal workforce planning of pilots in an airline company

Prediction of tunnel boring machine penetration rate using ant colony optimization, bee colony optimization and the particle swarm optimization, case study: Sabzkooh water conveyance tunnel

Contact Info

Product

Resources

About