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Mixed integer linear programming and genetic algorithm applied to storage and transportation problems in an oil industry

Angela Olandoski Barboza, Flavio Neves Junior, Silvana Ligia Vincenzi Bortolotti, Rosely Antunes de Souza
2016 Sistemas & Gestão  
doi:10.20985/1980-5160.2015.v10n4.448 fatcat:4eddtwjgjjbormmlzar2xazwua

Multi-Objective Analysis of Mixed-Integer Programs through a Hybrid Use of Genetic Algorithm with Mathematical Programming-An Application to Site Location Problems of Waste Disposal
ハイブリッド遺伝アルゴリズムによる混合整数計画問題の多目的解析 廃棄物処分施設の立地計画への応用

1999 Kagaku kogaku rombunshu  
Mentioning about some promising features of the idea, we extend it to solve multi-objective mixed-integer programs, and reveal the superiority  ...  Showing that general formulation of such site location problems refers to MIP under multi-objective, we preliminarily discuss how to apply a genetic algorithm  ... 
doi:10.1252/kakoronbunshu.25.66 fatcat:lhgupdb7encazc63xwku7uzkza

A Review of Water Quality Optimisation Models and Techniques

Douglas Kwasi Boah, Stephen Boakye Twum
2020 Journal of Applied Mathematics and Physics  
The review is concluded by drawing attention to the rare nature of application of interior-point methods to water quality optimisation.  ...  The models are categorised into Mathematical Programming Models and Meta-heuristic Programming Models.  ...  Integer Programming- [6] presented mixed-integer chance-constrained models for ground-water remediation.  ... 
doi:10.4236/jamp.2020.83032 fatcat:xuobjhmt2rc4vnrfs2mfpbarzm

Collection network design with capacity planning in reverse logistics: static and restricted-dynamic models

Ji-Su Kim, Dong-Ho Lee
2018 Figshare  
Two heuristics are proposed for each of the two problems after formulating them as integer programming models.  ...  The capacities of collection centres are not given, but decision variables are used to obtain cost savings by minimizing surplus capacities.  ...  a IP: Integer Programming, MILP: Mixed Integer Linear Programming, MINLP: Mixed Integer Nonlinear Programming, SMILP: Stochastic Mixed Integer Linear Programming, MIGP: Mixed Integer Goal Programming b  ... 
doi:10.6084/m9.figshare.7209620 fatcat:4v6polo6svampjfyqp4lhvabji

Modeling and Solution Techniques Used for Hydro Generation Scheduling

Iram Parvez, JianJian Shen, Mehran Khan, Chuntian Cheng
2019 Water  
However, the mixed integer nonlinear programming, mixed integer linear programming, sequential lagrange and non-linear approach deals with network constraints and head sensitive cascaded hydropower plants  ...  In this paper, the different optimization techniques like lagrange relaxation, augmented lagrange relaxation, mixed integer programming methods, heuristic methods like genetic algorithm, fuzzy logics,  ...  Acknowledgments: The authors would like to acknowledge the financial support from China scholarship council (CSC) for higher studies of Iram Parvez and Engr.  ... 
doi:10.3390/w11071392 fatcat:xpcleotz7zezxirdrkcaeccumm

Solving mixed-integer nonlinear programming problems using improved genetic algorithms

Tawan Wasanapradit, Nalinee Mukdasanit, Nachol Chaiyaratana, Thongchai Srinophakun
2010 Korean Journal of Chemical Engineering  
This paper proposes a method for solving mixed-integer nonlinear programming problems to achieve or approach the optimal solution by using modified genetic algorithms.  ...  The representation scheme covers both integer and real variables for solving mixed-integer nonlinear programming, nonlinear programming, and nonlinear integer programming.  ...  This was applied to solve reliability problems and is classified as mixed-integer nonlinear programming.  ... 
doi:10.1007/s11814-010-0323-3 fatcat:d7dhxyko6ffvxal36h3tohvyfe

Literature Review on Network Design Problems in Closed Loop and Reverse Supply Chains

Muthusamy Aravendan, Ramasamy Panneerselvam
2014 Intelligent Information Management  
So, it is highly essential to optimize the movement of the items in the reverse logistics network.  ...  factory and finished goods from factory to customers via a designated distribution channel called as forward logistics.  ...  They developed a mixed integer nonlinear programming (MINLP) to solve the problem and presented the results.  ... 
doi:10.4236/iim.2014.63012 fatcat:3q4eq22w7zbmbiojdctqbwqu54

System Reliability Optimization with Fuzzy Goals Using Genetic Algorithm

Mitsuo GEN, Kenichi IDA, Jongryul KIM
1998 Journal of Japan Society for Fuzzy Theory and Systems  
Acknowledgment This research was supported by the International Scientific Research Program, the Grant-in-Aid for Scientific Re$earch(No. 07045032 : 1995. 4-1998.3) by the Ministry of Education, Science  ...  mixed integer programming problem .  ...  We use the genetic algorithm to slove the nonlinear mixed integer programming problem without any transfQrmation for nonlinear problem into a linear lnodel or other methDds .  ... 
doi:10.3156/jfuzzy.10.2_176 fatcat:gxesdhseovdmdaelrr7xaejhui

Solving the Periodic Maintenance Scheduling Problem via Genetic Algorithm to Balance Workforce Levels and Maintenance Cost

2011 American Journal of Engineering and Applied Sciences  
Approach: The article proposed a mixed integer non-linear math programming model and a linearised model for the PMSP.  ...  Also, we proposed a Genetic Algorithm (GA) for solving the problem using a new genome representation considered as a new addition to the maintenance scheduling literature.  ...  We developed a mixed-integer non-linear math programming model and the linearised version of the problem.  ... 
doi:10.3844/ajeassp.2011.223.234 fatcat:473s4gk6e5anjfg2vyyr2436am

Bilevel Programming, Equilibrium, and Combinatorial Problems with Applications to Engineering 2016

Vyacheslav V. Kalashnikov, Stephan Dempe, Timothy I. Matis, José-Fernando Camacho-Vallejo, Sergii V. Kavun
2016 Mathematical Problems in Engineering  
Miao et al. in "Genetic Algorithm for Mixed Integer Nonlinear Bilevel Programming and Applications in Product Family Design" study the problem in question by applying the bilevel programming (BLP) techniques  ...  The papers selected for this special volume deal with three main themes: Mixed-Integer Bilevel Programming, Bilevel Stochastic Control Models, and Combinatorial (Integer Programming) Problems, as well  ...  A special gratitude is also due to the long list of referees, whose valuable comments and suggestions have helped the authors improve their results and/or presentation style. Vyacheslav V.  ... 
doi:10.1155/2016/4360909 fatcat:ooncikymsfdhhp35kcqwfx75mu

Genetic Algorithms: A Fundamental Component of an Optimization Toolkit for Improved Engineering Designs [chapter]

Siu Tong, David J. Powell
2003 Lecture Notes in Computer Science  
This paper focuses on the key role played by the toolkit's genetic algorithm in providing a robust, general purpose solution to nonlinear continuous, mixed integer nonlinear and integer combinatorial problems  ...  Optimization is being increasing applied to engineering design problems throughout the world. iSIGHT is a generic engineering design environment that provides engineers with an optimization toolkit of  ...  A value of No for Mixed Integer indicates that the algorithm applies only for continuous problems.  ... 
doi:10.1007/3-540-45110-2_127 fatcat:tzz2w6n3pzhq5cubykruyilbiq

Optimization of tower crane and material supply locations in a high-rise building site by mixed-integer linear programming

C. Huang, C.K. Wong, C.M. Tam
2011 Automation in Construction  
Applying linear constraint sets, the quadratic problem can be linearized and the problem could be formulated into a mixed-integer-linear programming (MILP) problem solvable by a standard branch-andbound  ...  integer variables.  ...  We will then formulate the tower crane location problem into a binary-mixed-integer-linear program and apply a standard branch-and-bound technique to look for the global optimum solution. 3.  ... 
doi:10.1016/j.autcon.2010.11.023 fatcat:g2jeugxrerd3pi3fk277zwe6qu

Page 694 of The Journal of the Operational Research Society Vol. 59, Issue 5 [page]

2008 The Journal of the Operational Research Society  
To solve the mixed-integer programming model of BSAP- MQC, we apply a suite of optimization techniques including strengthening the formulation by adding strong valid inequal- ities and using Lagrangian  ...  To solve the mixed integer programming model, both valid inequalities and Lagrangian relaxations are studied in Sections 3 and 4.  ... 

A review of emerging techniques on generation expansion planning

Jinxiang Zhu, Mo-yuen Chow
1997 IEEE Transactions on Power Systems  
Many of these techniques have been reported to use in generation expansion planning.  ...  will describe these emerging optimization techniques, including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, decomposition method, simulated annealing, and genetic  ...  GEP can be firstly formulated as an integer programming problem or a mixed integer programming problem subject to a number of equality and inequality constraints, then a Hopfield network can be applied  ... 
doi:10.1109/59.627882 fatcat:xc72gevcfne5zbt6drik3d3e2a

A hydro power system operation using Genetic Algorithms and mixed-integer nonlinear programming

P. Šulek
2012 Slovak Journal of Civil Engineering  
A hydro power system operation using Genetic Algorithms and mixed-integer nonlinear programming This paper proposes a new hybrid optimization method for solving a hydrothermal coordination problem.  ...  It combines genetic algorithms with the traditional numerical optimization method. The hybrid method has been applied to a real hydrothermal system, i.e., the Slovak power system.  ...  ., 1991) ; linear programming (Seewald, 1997; Šulek, Dušička, 2006) ; dynamic programming (Tang, Luh, 1995; Yang, Chen, 1989 ); mixed-integer programming (Chang, et al., 2001; Li, et al., 1993) and  ... 
doi:10.2478/v10189-012-0001-z fatcat:tbhnomquiffxxem5ulhznq3cyi
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