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A comprehensive study on modern optimization techniques for engineering applications
S Selvarajan - Artificial Intelligence Review, 2024 - Springer
Rapid industrialization has fueled the need for effective optimization solutions, which has led
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …
[HTML][HTML] Formulation of the airport collaborative gate allocation problem and the bee colony optimization solution approach
This article formulates the Collaborative Gate Allocation (CGA) problem as a novel concept
to reduce aircraft gate-waiting time and to increase aircraft gate utilization. The proposed …
to reduce aircraft gate-waiting time and to increase aircraft gate utilization. The proposed …
Ecology based network traffic control: A bee colony optimization approach
The majority of fuel consumed in traffic on urban arterials is related to driving in congested
traffic, characterized by frequent speed fluctuations and stops at signalized intersections. A …
traffic, characterized by frequent speed fluctuations and stops at signalized intersections. A …
Fixed-time traffic control at superstreet intersections by bee colony optimization
The superstreet intersection (or restricted crossing U-turn-, J-turn intersection) fixed-time
traffic control system was developed in this study. The optimal (or near-optimal) values of …
traffic control system was developed in this study. The optimal (or near-optimal) values of …
The shortest-path and bee colony optimization algorithms for traffic control at single intersection with NetworkX application
In this article, we study the application of NetworkX, a Python library for dealing with traffic
networks, to the problem of signal optimization at a single intersection. We use the shortest …
networks, to the problem of signal optimization at a single intersection. We use the shortest …
Solving the aircraft landing problem using the bee colony optimization (BCO) algorithm
This study examines a static version of the Aircraft Landing Problem (ALP) when information
on scheduled aircraft is known in advance. We assume that for any scenario each aircraft …
on scheduled aircraft is known in advance. We assume that for any scenario each aircraft …
Stabilization of a DC Motor Controller Using an Interval Type-2 Fuzzy Logic System Designed with the Bee Colony Optimization Algorithm
In this paper a Bee Colony Optimization algorithm (BCO) to stabilization of a DC Motor
control is analyzed. The focus of the proposal algorithm is found the distribution of the …
control is analyzed. The focus of the proposal algorithm is found the distribution of the …
A bee colony optimization algorithm to tuning membership functions in a type-1 fuzzy logic system applied in the stabilization of a dc motor speed controller
In this research a Bee Colony Optimization algorithm (BCO) for stabilization of a DC Motor
Speed Controller is presented. The first idea of the BCO is to find of the optimal design of the …
Speed Controller is presented. The first idea of the BCO is to find of the optimal design of the …
Overview of nonlinear interval optimization problems
Variables and parameters in natural systems are often associated with uncertainty. There
are broadly three approaches to tackle the uncertainty of such systems, ie, stochastic, fuzzy …
are broadly three approaches to tackle the uncertainty of such systems, ie, stochastic, fuzzy …
Bee Colony Optimization for Maximum Diversity Problem with Capacity and Budget Constraints
The paper explores the problem of selecting a diverse set of points from a given set, with
applications in various fields, including facility positioning and renewable energy …
applications in various fields, including facility positioning and renewable energy …