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Robust adaptive control of a bio-inspired robot manipulator using bat algorithm
This paper proposes a novel adaptive fractional order PID sliding mode controller
(AFOPIDSMC) using a Bat algorithm to control of a Caterpillar robot manipulator. A fractional …
(AFOPIDSMC) using a Bat algorithm to control of a Caterpillar robot manipulator. A fractional …
Data analytics in managing aircraft routing and maintenance staffing with price competition by a Stackelberg-Nash game model
This study develops a Stackelberg-Nash game model (SNGM) to capture the
interdependence between aircraft routing of airlines and maintenance staffing of …
interdependence between aircraft routing of airlines and maintenance staffing of …
Robust aircraft maintenance routing problem using a turn-around time reduction approach
This article discusses the problem of how to efficiently build aircraft routes that better
withstand potential disruptions, such as bad weather, technical problems, and passenger …
withstand potential disruptions, such as bad weather, technical problems, and passenger …
Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) …
Customer churn has been considered as one of the key issues in the operations of the
corporate business sector, as it influences the turnover directly. In particular, the telecom …
corporate business sector, as it influences the turnover directly. In particular, the telecom …
Ant Colony based LQR and PID tuned parameters for controlling Inverted Pendulum
This paper presents an optimization technique to adjust the LQR and PID controller
parameters to control the nonlinear plant of inverted pendulum using the integral square …
parameters to control the nonlinear plant of inverted pendulum using the integral square …
Fuzzy dynamic parameter adaptation in ACO and PSO for designing fuzzy controllers: the cases of water level and temperature control
A novel approach applied to Particle Swarm Optimization (PSO) and Ant Colony
Optimization is presented. The main contribution of this work is the use of fuzzy systems to …
Optimization is presented. The main contribution of this work is the use of fuzzy systems to …
Heuristic approaches for operational aircraft maintenance routing problem with maximum flying hours and man-power availability considerations
Purpose The purpose of this paper is twofold. First, to propose an operational model for
aircraft maintenance routing problem (AMRP) rather than tactical models that are commonly …
aircraft maintenance routing problem (AMRP) rather than tactical models that are commonly …
Enhancing tree-seed algorithm via feed-back mechanism for optimizing continuous problems
Abstract Tree-Seed Algorithm (TSA) is a novel population-based random search algorithm
with its advantages in continuous optimization problems. However, there are some problems …
with its advantages in continuous optimization problems. However, there are some problems …
Location management in LTE networks using multi-objective particle swarm optimization
Long-term evolution (LTE) and LTE-advance (LTE-A) are widely used efficient network
technologies serving billions of users, since they are featured with high spectrum efficiency …
technologies serving billions of users, since they are featured with high spectrum efficiency …
Combined PID and LQR controller using optimized fuzzy rules
In this paper, a combination of PID controller and linear quadratic regulator is proposed. A
fuzzy switching module is applied to optimally fuse both controllers. A new adaptive version …
fuzzy switching module is applied to optimally fuse both controllers. A new adaptive version …