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Throughput optimization for the Robotic Cell Problem with Controllable Processing Times
(
EDP Sciences
, 2017 , Article)
In this paper, we present a MIP-based heuristic and an effective genetic algorithm for the Robotic Cell Problem with Controllable Processing Times (RCPCPT). This problem arises in modern automated manufacturing systems and ...
Vehicle identification using optimised ALPR.
(
Qatar University Press
, 2021 , Poster)
Vehicles are a common sight on the road. Tracking and monitoring suspicious vehicles for identification due to high similarity in structure and form leads to difficulties in differentiating between them. The unique identity ...
Multi-objective optimisation of facility location decisions within integrated forward/reverse logistics under uncertainty
(
Inderscience Publishers
, 2016 , Article)
Increasing interest to the environmental, social and economic aspects of the supply chains has motivated supply chain managers to optimise location-allocation decisions within closed-loop logistics networks. This paper ...
Genetic algorithm use for internally resonating lattice optimization: Case of a beam-like metastructure
(
Springer New York LLC
, 2016 , Conference Paper)
Metamaterial inspired structures, or metastructures, are structural members that incorporate periodic or nonperiodic inserts. Recently, a new class of metastructures has been introduced which feature chiral lattice inserts. ...
Valorization and optimization of agro-industrial orange waste for the production of enzyme by halophilic Streptomyces sp.
(
Academic Press Inc.
, 2021 , Article)
This study underlines the biotechnical valorization of the accumulated and unusable remains of agro-industrial orange fruit peel waste to produce α-amylase under submerged conditions by Streptomyces sp. KP314280 (20r). The ...
A memetic algorithm for the bi-objective quadratic assignment problem
(
Elsevier B.V.
, 2019 , Conference Paper)
Recently, multi-objective evolutionary algorithms (MOEAs) have been extensively used to solve multi-objective optimization problems (MOPs) since they have the ability to approximate a set of non-dominated solutions in ...
Multi-objective framework for process mean selection and price differentiation with leakage effects under price-dependent stochastic demand
(
Elsevier Ltd
, 2019 , Article)
This paper investigates the process mean selection problem that simultaneously considers pricing, production and quality decisions in a multi-objective context when the manufacturing firm experiences a demand leakage in ...
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
(
Springer
, 2022 , Article)
Purpose
We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target ...
An Efficient Heuristic for Pooled Repair Shop Designs
(
Springer Verlag
, 2019 , Conference Paper)
An effective spare part supply system planning is essential to achieve a high capital asset availability. We investigate the design problem of a repair shop in a single echelon repairable multi-item spare parts supply ...
An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
(
IEEE
, 2021 , Article)
Natural scene text classification is considered to be a challenging task because of diversified set of image contents, presence of degradations including noise, low contrast/resolution and the random appearance of foreground ...