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Nature-Inspired Metaheuristic Techniques for Combinatorial Optimization Problems: Overview and Recent Advances
2021
Mathematics
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Combinatorial optimization problems are often considered NP-hard problems in the field of decision science and the industrial revolution. ...
As a successful transformation to tackle complex dimensional problems, metaheuristic algorithms have been implemented in a wide area of combinatorial optimization problems. ...
Acknowledgments: The authors would like to thank the Center of Graduate Studies of Universiti Teknologi PETRONAS and the YUTP research fund (015LCO-296) for the funding of this research. ...
doi:10.3390/math9202633
fatcat:tk2ymswg4fau3bpx2kxmcmmyoi
Weapon Target Assignment
[chapter]
2020
Industrial Engineering [Working Title]
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The weapon target assignment problem (WTA) is a class of combinatorial optimization problems present in the fields of optimization and operations research. ...
It consists of finding an optimal assignment of a set of weapons of various types to a set of targets in order to maximize the total expected damage done to the opponent. ...
So, computational algorithms are the best approach to solve the large scale dynamic WTA problem [8] . ...
doi:10.5772/intechopen.93665
fatcat:yjiao3zrknguhcgo4gtusbfdtm
Optimal Advertising Campaign Generation for Multiple Brands Using MOGA
2007
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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The paper proposes a new modified multiobjective genetic algorithm (MOGA) for the problem of optimal television (TV) advertising campaign generation for multiple brands. ...
To achieve these results, the special problem-specific solution encoding, genetic operators, and original local optimization routine were developed for the algorithm. ...
ACKNOWLEDGMENT The authors are grateful to the Omega Software GmbH for the data used in the case studies. ...
doi:10.1109/tsmcc.2007.900651
fatcat:nccjw62rhng4nbodi6dxpffpmi
Optimal Advertisement Placement Slot Using Knapsack Problem (A Case Study of Television Advertisement of Tv 3 Ghana)
2017
International Journal of Engineering Research and Applications
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In this paper, the research about how to model the TV3 advertisement selection problems as 0 -1 single knapsack problem so as to maximize the returns from their commercials is presented. ...
Dynamic programming algorithm was used to solve the problem. To carry out the computations, the computer software, matlab was used to analyze the problem. ...
Moreover, meta-heuristics such as simulated annealing, Genetic algorithm and Tabu search are used to solve large scale problems. ...
doi:10.9790/9622-0704044662
fatcat:5amdpatufreitibbysmiryzvuq
A new metaheuristic genetic-based placement algorithm for 2D strip packing
2014
Journal of Industrial Engineering International
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The position is subject to confinement of no overlapping of blocks. The problem is a complex NP-hard combinatorial optimization, thus a heuristic based on genetic algorithm is proposed to solve it. ...
Such a combination resulted in better population evolution and faster solution convergence to optimal. The approach is subjected to a comprehensive test using benchmark instances. ...
The packing problem is not limited to industries, but can also be seen in other dimensions like in very-large-scale integration design, memory allocation during storage and in the field of optical fiber ...
doi:10.1007/s40092-014-0047-9
fatcat:qvtswjme5bfprjtfuhbrhoqqyi
A survey: algorithms simulating bee swarm intelligence
2009
Artificial Intelligence Review
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This work presents a survey of the algorithms described based on the intelligence in bee swarms and their applications. SH (2003) Queen-bee evolution for genetic algorithms. ...
In: International conference on multivariate statistical modelling and high dimensional data mining, Kayseri, Turkey Karaboga D, Akay B (2008b) Solving large scale numerical problems using artificial bee ...
Navigation Bees' large scale navigation behavior inspired Bianco (2004) in order to describe a mapping paradigm. ...
doi:10.1007/s10462-009-9127-4
fatcat:lk3bhpg4lngrvbcuc2z7uooaue
A Novel Feature Engineering Framework in Digital Advertising Platform
2019
International Journal of Artificial Intelligence & Applications
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So, the main challenge lies in the large design space to address issues of scale, where we need to rely on a subset of well-designed features. ...
To justify our claim, a large dataset of a running marketing campaign is used to evaluate the efficiency of the proposed approaches, where the results illustrate their benefits. ...
Therefore, one of the main challenges in digital advertising industry lies in the large design space to address issues of scale. ...
doi:10.5121/ijaia.2019.10403
fatcat:febmtvrxnzaxdafsznkfowynjq
Discrete Optimization for Dynamic Systems of Operations Management in Data-Driven Society
2019
Discrete Dynamics in Nature and Society
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particle swarm optimization (PMPSO) algorithm to solve combinatorial optimization problems by introducing new particles based on the optimal particles in the population and the historical optimal particles ...
In particular, the papers address the topics related to discrete optimization methodologies for stochastic OM problems, dynamic programming based exact methods for stochastic OM problems, system dynamics ...
Acknowledgments e guest editorial team would like to express gratitude to all the authors for their interest in selecting this special issue as a venue for disseminating their scholarly work. e editors ...
doi:10.1155/2019/3597314
fatcat:yycr7svztjbyfmzlnv52d757ty
Minimization of the Total Traveling Distance and Maximum Distance by Using a Transformed-Based Encoding EDA to Solve the Multiple Traveling Salesmen Problem
2015
Mathematical Problems in Engineering
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The results show that the proposed algorithm was superior to the two-part encoding genetic algorithm in terms of minimizing the total traveling distance. ...
A well-known in-group optimization problem is the multiple traveling salesmen problem (mTSP), which involves simultaneous assignment and sequencing procedures and are shown in different forms. ...
Acknowledgments The author would like to thank anonymous reviewers who enhance the quality of this paper and the Minister of Science and Technology with Grant nos. ...
doi:10.1155/2015/640231
fatcat:jhlv27warzg5loktdp5kc767s4
Survival of the flexible: explaining the recent dominance of nature-inspired optimization within a rapidly evolving world
[article]
2011
arXiv
pre-print
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This study presents evidence that the use of NIM is not only growing, but indeed appears to have surpassed mathematical optimization techniques (MOT) in several important metrics related to academic research ...
Although researchers often comment on the rising popularity of nature-inspired meta-heuristics (NIM), there has been a paucity of data to directly support the claim that NIM are growing in prominence compared ...
On 852 large scale problems (where optimal solutions are not known), ES was shown to find what they call "near optimal" solutions 12 times faster than Simulated Annealing (SA).MAThis paper surveys memetic ...
arXiv:0907.0332v3
fatcat:dz233e4zbzb2hn5aqnk55tbvm4
Heterogeneous Systems Testing Techniques: An Exploratory Survey
[chapter]
2015
Lecture Notes in Business Information Processing
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on the usefulness of the techniques with respect to a defined set of outcome variables. ...
Heterogeneous systems comprising sets of inherent subsystems are challenging to integrate. In particular, testing for interoperability and conformance is a challenge. ...
Search-Based Software Testing: In search-based testing meta-heuristics are used to solve software testing problems by using, for example genetic algorithms, to search for a solution for a problem (e.g. ...
doi:10.1007/978-3-319-13251-8_5
fatcat:egojrq2xh5bjvlaeghoicgar3q
Toward an Integrated Framework for Automated Development and Optimization of Online Advertising Campaigns
[article]
2012
arXiv
pre-print
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The optimization module focuses on the learning process from existing campaign statistics and also from applied strategies of previous periods in order to invest optimally in the next period. ...
Creating and monitoring competitive and cost-effective pay-per-click advertisement campaigns through the web-search channel is a resource demanding task in terms of expertise and effort. ...
Vazirgiannis is partially supported by the DIGITEO Chair grant LEVETONE in France. ...
arXiv:1208.1187v1
fatcat:5xqrzfpnkvgtrkq3vtzzytdssi
Scheduling advertising slots for television
2008
Journal of the Operational Research Society
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Bollapragada et al (2004) have recently identified another important scheduling problem in the television industry during the course of a large-scale research project designed to increase the revenues ...
In: Reeves C (ed). Modern Heuristic Techniques For Combinatorial Problems. Blackwell: Oxford, pp 70-141.
Goldberg DE (1989). Genetic Algorithms In Search, Optimization, And Machine Learning. ...
doi:10.1057/palgrave.jors.2602481
fatcat:nxpgwhlq3vgfvksmndfq66j7vm
A Collaborative Optimization Strategy for Energy Reduction in Ironmaking Digital Twin
2020
IEEE Access
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The expenses of pig iron manufacturing stay in a relatively high level due to the large consumption of coke and ore. ...
Finally, the improved genetic algorithm is applied to optimize the total production cost represented by the aggregation of seven coke ratios on a cloud computing platform. ...
Since departure is around the corner, the author Heng Zhou would like to thank the company and dedication of his lab-mates along these years. ...
doi:10.1109/access.2020.3027544
fatcat:i5pmcsxdojhkxdgx3ga4tweone
Bee Colony Optimization - part II: The application survey
2015
Yugoslav Journal of Operations Research
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BCO has been successfully applied to various hard combinatorial optimization problems, mostly in transportation, location and scheduling fields. ...
This technique was motivated by the analogy found between the natural behavior of bees searching for food and the behavior of optimization algorithms searching for an optimum in combinatorial optimization ...
This work has been partially supported by the Serbian Ministry of Education Science and Technological Development, grants No. OI174010, OI174033, and TR36002. ...
doi:10.2298/yjor131029020t
fatcat:zpiyfknyajekdde5n4aluv5r4a
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