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A Multi-Region and Multi-Period Harvest Schedule of the Trawl Fleet
2022
Frontiers in Marine Science
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The objective of this article is to investigate the optimal allocation of fishing effort in the Norwegian bottom-trawl fleet within economically important species; cod, saithe, and haddock across three ...
Under the individual vessel quota regulations, the expected economic return of a multi species fishery is influenced by an array of a multi-component choice such as targeted species, landings per haul, ...
For an NLP, either the objective function or the constraints or both are non-linear. ...
doi:10.3389/fmars.2021.738912
fatcat:2wxhhab3nbhy3jmtnuekktofdi
Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
2021
Tehnički Vjesnik
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Taking the harvesting of autumn soybeans at Jianshan Farm in Heilongjiang Reclamation Area as the experimental object, this paper constructs the optimization target model of the maximum net income of farm ...
Aiming at the imbalance of seasonal agricultural machinery operations in different regions and the low efficiency of agricultural machinery, an experiment is proposed to use particle swarm algorithm to ...
The objective function in this paper has constraints, and the external penalty function method is used to transform the optimization problem with constraints into the optimization problem without constraints ...
doi:10.17559/tv-20210427163416
fatcat:kx4mjmaoijer3oxhpjcwto5ijy
Application of a genetic algorithm to minimize agricultural nitrogen deposition in nature reserves
2006
Agricultural Systems
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In earlier research, the optimal spatial distribution of agricultural ammonia emissions to minimize atmospheric nitrogen deposition in nature reserves was determined. ...
Kappa statistics and regression analysis were used to test the similarity of the spatial emission and 0308-521X/$ -see front matter Ó (W. ...
Use of a repair operator, taking care of constraint violations ÔafterwardsÕ, for instance, by rescaling or projection. ...
doi:10.1016/j.agsy.2005.06.021
fatcat:hcb3s735nredlp63eum7nkdmri
Breakout local search for the multi-objective gate allocation problem
2017
Computers & Operations Research
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We take into account the real multi-criteria nature of the problem by optimizing a total of nine gate allocation objectives that are oriented both on convenience for airport/airline services and passenger ...
As far as we are aware, this is the largest number of objectives jointly optimized in the GAP literature. ...
We are grateful to the anonymous referees for valuable suggestions and comments which helped us improve the paper. ...
doi:10.1016/j.cor.2016.08.010
fatcat:5enw3lfdirfgtja324xwuxcyfu
Use of evolutionary methods for bioeconomic optimization models: an application to fisheries
2000
Agricultural Systems
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Bioeconomic optimization models are regularly used in ®sheries policy analysis. ...
However, the use of these models has been restricted in ®sheries, as in other similar ®elds, where there are a large number of non-linear interactions. ...
Useful comments, ideas and assistance with ®nalization of the paper were provided by Louisa Coglan, Department of Economics, University of Portsmouth. ...
doi:10.1016/s0308-521x(00)00035-4
fatcat:alm2bjtkfrh2xdjw5einwnywuy
A genetic search-based heuristic for a fleet size and periodic routing problem with application to offshore supply planning
2017
EURO Journal on Transportation and Logistics
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The aim is to help the company in determining the optimal size of supply vessels to charter in and their corresponding voyages and schedules. ...
The aim is to help the company in determining the optimal size of supply vessels to charter in and their corresponding voyages and schedules. ...
Acknowledgments The authors acknowledge financial support from project Maritim Offshore Logistikk Optimering (MOLO) partly funded by the Research Council of Norway. ...
doi:10.1007/s13676-017-0111-x
fatcat:mupx7bsk6zepphckmwk6e4fkpu
A land use/land cover change geospatial cyberinfrastructure to integrate big data and temporal topology
2015
International Journal of Geographical Information Science
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This is especially the case for spatiotemporal Land Use / Cover Change (LUCC) research. ...
We propose a LUCC-based Geospatial CyberInfrastructure (GCI) that optimizes big data handling and analysis, in this case with raster data. The GCI provides three levels of optimization. ...
We found a large number of objects located in urban portions of our study area, due to a high mixture of land uses. ...
doi:10.1080/13658816.2015.1104534
fatcat:76gu3psomnfx7j4aadzxjayfxy
Time-dependent transportation network design that considers health cost
2014
Transportmetrica A: Transport Science
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algorithm is adopted to solve the lower-level time-dependent land-use transport problem. ...
The Sioux Falls network is adopted to show the performance of the solution algorithm as well as the effectiveness of the proposed repairing procedure. ...
land-use constraints; time-dependent modal-split/assignment constraints. ...
doi:10.1080/23249935.2014.927938
fatcat:mydy5ghtgbfrzldmhvpaayc6sm
Robust Design of Relief Distribution Networks Considering Uncertainty
2021
Sustainability
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Its objective is to minimize the sum of transportation cost, additional RDC cost, and shortage of commodities. ...
A robust optimization model is proposed to hedge against uncertainties in RDCs' capacity and relief demand. ...
Moreover, it is impossible to repair blocked, unavailable, or damaged roads quickly. In such cases, it is necessary to build additional RDCs. ...
doi:10.3390/su13169281
fatcat:rc4g4qunlfdkzpdgng5ayyunxm
The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping
2013
European Journal of Operational Research
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The problem is framed as a multi-indicator assessment and is solved using a minimal cost objective. ...
Multi-objective (MO) route selection problem is a combination of two combinatorial problems: MO shortest path problem (finding the efficient paths between the nodes to be visited) and MO traveling salesperson ...
-Optimal Dynamic Tax Evasion: A Portfolio Approach Francesco Menoncin, Economics, Brescia University, Via S. Faustino, 74/B, 25122, Brescia, Italy, menoncin@eco.unibs.it, Rosella Levaggi ...
doi:10.1016/j.ejor.2012.08.016
fatcat:c27kagfnxnhjfbil2rydhjhomm
Multi-type facts placement for loss minimization using biogeography based optimization
2012
Archives of Electrical Engineering
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This paper presents a new strategy for optimal placement of multi-type FACTS devices with a view to minimize losses besides enhancing the voltage profile using biogeography based optimization. ...
The strategy places three types of FACTS devices that include static VAR compensator, thyristor controlled series compensator and unified power flow controller; and offers optimal locations for placement ...
An elegant strategy for optimal placement of multi-type FACTS devices using BBO is proposed in this paper. ...
doi:10.2478/v10171-012-0040-0
fatcat:yf533h6gcre23aojnv7zmigre4
Incorporating the Impacts of Uncertain Fieldwork Time on Whole-Farm Risk-Return Levels: A Target MOTAD Approach
1991
Southern Journal of Agricultural Economics
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Thus, the probability of encountering weather-related delays in fieldwork will increase. This increase in delays may cause a decline in yields and changes in the distribution of net returns. ...
The model relies on estimates of available fieldwork time and a crop's harvestable yield in different time periods throughout the harvest season. ...
This row was used to constrain acreage and allocation of different maturity managethe sum of the weighted negative deviations to be ment practices. less than or equal to E(ND), the measure of risk. ...
doi:10.1017/s0081305200018124
fatcat:lwyvklnarva4db54mp4grozvce
Infeasibility handling in genetic algorithm using nested domains for production planning
2010
Computers & Operations Research
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In this paper we present a genetic algorithm with new components to tackle capacitated lot sizing and scheduling problems with sequence dependent setups that appear in a wide range of industries, from ...
We propose a new scheme of classifying individuals based on nested domains to determine the solutions according to the level of infeasibility, which in our case represents bands of additional production ...
Chootinan and Chen [2006] use a gradient of constraint to create more efficient repair algorithms. ...
doi:10.1016/j.cor.2009.09.020
fatcat:b7akwxm42vginaxdh4fy6hwree
A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design
2021
IEEE Access
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Advantage may also be gained by allowing small budget variations and then addressing the violations by either reducing the budget allocation in future years or through a penalization mechanism. ...
This can largely be attributed to the heuristic scheduling component that implicitly handles the problem constraints, thereby eliminating the need for an explicit constraint handling technique or repair ...
doi:10.1109/access.2021.3086070
fatcat:duqakjbbyrbnhjtgssc7kfdfte
Robust Design of a Closed-Loop Supply Chain Considering Multiple Recovery Options and Carbon Policies under Uncertainty
2020
IEEE Access
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Repair and recycling activities in the reverse supply chain contribute significantly to the total cost and carbon emission. ...
The proposed model could be used to guide firms to choose an appropriate budget of uncertainty toward achieving a robust supply chain network. ...
to avoid sub-optimal or infeasible solutions. ...
doi:10.1109/access.2020.3046684
fatcat:myx62vqouncczh5jd4rx75v63u
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