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Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Yan Sun, Maoxiang Lang, Danzhu Wang
2015 Open Civil Engineering Journal  
In this study, we present a systematical review on the multi-modal transportation freight routing planning problem from the aspects of model formulation and algorithm design.  ...  Thus, how to optimize freight routes selection to move commodities through the multi-modal transportation network has gained great concern of both the decision makers of the companies and the multi-modal  ...  ACKNOWLEDGEMENTS This study was supported by the National Natural Science Foundation Project (No.71390332-3) of People's Republic of China.  ... 
doi:10.2174/1874149501509010714 fatcat:mvapax7nxvd4pbc3vct5v5ocy4

Simplifying Multiproject Scheduling Problem Based on Design Structure Matrix and Its Solution by an Improved aiNet Algorithm

Chunhua Ju, Tinggui Chen
2012 Discrete Dynamics in Nature and Society  
Firstly, the DSM is used to simplify the mathematic model of multi-project scheduling problem.  ...  In this paper, design structure matrix (DSM) and an improved artificial immune network algorithm (aiNet) are developed to solve a multi-mode resource-constrained scheduling problem.  ...  Kumanan et al. 15 proposed the use of a heuristic and a genetic algorithm for scheduling a multi-project environment with an objective to minimize the makespan of the project.  ... 
doi:10.1155/2012/713740 fatcat:mgxnuub3lrdcvdohieq55d2yvy

A Survey on Financial Applications of Metaheuristics

Amparo Soler-Dominguez, Angel A. Juan, Renatas Kizys
2017 ACM Computing Surveys  
This paper reviews some of the works related to the use of metaheuristics in solving both classical and emergent problems in the finance arena.  ...  Modern heuristics or metaheuristics are optimization algorithms that have been increasingly used during the last decades to support complex decision making in a number of fields, such as logistics and  ...  Finally, He et al. [2015] propose a TS and a SA as solvers of the multi-modal NPV problem with constrained resources (also known as multi-modal project payment scheduling problem with capital constraints  ... 
doi:10.1145/3054133 fatcat:hr4fggpodnbzjdk3fkg6thxjma

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Oliviu Matei, Rudolf Erdei, Camelia-M. Pintea
2021 Informatica  
The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low  ...  The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.  ...  Route Optimisation Problem using Genetic Algorithms (GA) was proposed by Jing et al. (2012) ; the same technique was used to solve a Multi-Objective Transport System by Khan et al. (2019) and could  ... 
doi:10.15388/21-infor449 fatcat:skvfbfchvvehdkr2wfqw4tmdam

Fuzzy tactical project planning: Application to helicopter maintenance

Malek Masmoudi, Erwin W. Hans, Alain Hait
2011 ETFA2011  
Resource-constrained project scheduling problem is one of the most attractable classical problems in practice.  ...  Resource-constrained project scheduling explicitly takes into account constraints on resources and aims at scheduling the activities subject to the precedence constraints and the resource constraints in  ...  Moreover, a genetic algorithm and a greedy algorithm (Parallel SGS) are provided to solve the FRLP and FRCPSP problems, respectively. A simulated Annealing is provided to solve the FRCCP problem.  ... 
doi:10.1109/etfa.2011.6059048 dblp:conf/etfa/MasmoudiHH11 fatcat:tmp6brhvmvhftmvuv6vsdd6qty

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications

Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries Engelbrecht
2017 IEEE Transactions on Evolutionary Computation  
Multi-modal optimization (MMO) aiming to locate multiple optimal (or near-optimal) solutions in a single simulation is an important topic which has practical relevance in problem solving across many fields  ...  He is a Founding Member and the Chair of the IEEE CIS Task Force on Multi-Modal Optimization. . He has published over 450 research papers, with 92 000 Google Scholar citation and an H-index of 100.  ...  ACKNOWLEDGMENT The authors would like to thank anonymous reviewers for their constructive comments which have greatly improved the quality of this paper.  ... 
doi:10.1109/tevc.2016.2638437 fatcat:7ol4ecd35bfjvkn6mujx37uocu

A Review on Optimal Generation Techniques used in Microgrids

Pissa Sandhya Rani, K. S. V. Phani Kumar
2015 International Journal of Engineering Research and  
It also integrates the advantages of power generation from alternative energy and non-conventional energy power generation systems connected to the grid.  ...  As nonconventional energy sources are intermittent, complete dependence on these sources also makes us to face difficulties such as availability of the electricity generated, weather conditions, cost of  ...  Constrained global optimization problem is solved by a mixture of PSO and ANN [30] .  ... 
doi:10.17577/ijertv4is090743 fatcat:u62mo6hxubbw3je26xpdfmug5e

Towards fully Decentralized Multi-Objective Energy Scheduling

Joerg Bremer, Sebastian Lehnhoff
2019 Proceedings of the 2019 Federated Conference on Computer Science and Information Systems  
Many planning and scheduling problems are of a multi-objective nature.  ...  For the single-objective case -e. g. predictive scheduling with the goal of jointly resembling a wanted target schedulefully decentralized algorithms with self-organizing agents exist.  ...  For the case of predictive scheduling, [35] developed a decentralized algorithm for constrained combinatorial problems: The Combinatorial Optimization Heuristics for Distributed Agents (COHDA).  ... 
doi:10.15439/2019f160 dblp:conf/fedcsis/BremerL19 fatcat:6aal5iv4vfexjbpgmamakmc2nu

Differential Evolution Algorithm for Constraint Joint Replenishment Problem with Indirect Grouping Strategy

Chengyan Li, Jun Gao, Tianwei Zhang, Xiaotian Wang
2015 International Journal of Hybrid Information Technology  
We present a differential evolution (DE) algorithm that uses indirect grouping strategy to solve constrained joint replenishment. The procedure and structure of the DE algorithm is proposed.  ...  The joint replenishment problem with deterministic resource restriction is considered.  ...  Acknowledgements This work was supported by grant No.12541142 from the Research Program of the Education Department of Heilongjiang Province, China.  ... 
doi:10.14257/ijhit.2015.8.5.28 fatcat:yvgumlkz6fhtlaufaxn3g2jzsu

Applications of Simulated Annealing-Based Approaches to Electric Power Systems [chapter]

Yann-Chang Huang, Huo-Ching Sun, Kun-Yuan Huang
2012 Simulated Annealing - Advances, Applications and Hybridizations  
A projection-based twolayer SA was used to solve the multi-objective optimization problems (Chen & Ke, 2004) .  ...  When f(x) is multi-modal, SA can be used to find the global optimal values of the decision variables x that are described in (2) .  ... 
doi:10.5772/50388 fatcat:wxex3l3w3vauremkbili5r35am

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
All accepted papers will be included in the Proceeding of Adaptation, Learning and Optimization Series published by Springer-Verlag.  ...  Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%.  ...  E-mail: a 2 Japan Advanced Institute of Science and Technology, Ishikawa, 044 10:00 hrs Solving Multimode Resource-Constrained Project Scheduling Problems using an Organizational  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Bindeshwar Singh, N.K. Sharma, A.N. Tiwari
2010 Journal of Electrical Engineering and Technology  
Authors strongly believe that this survey article will be very much useful to the researchers for finding out the relevant references in the field of placement and coordination of FACTS Controllers.  ...  This paper presents exhaustive review of various methods/techniques for coordinated control between FACTS controllers in multi-machine power systems.  ...  Srivastava, Indian Institute of Technology, Kanpur, for discussions regarding placement and coordination techniques for FACTS controllers in multi-machine power systems environments.  ... 
doi:10.5370/jeet.2010.5.1.079 fatcat:dbf4cjzk3vau5ot57ctvwg42t4

Usage of Optimization Techniques in Civil Engineering During the Last Two Decades

Tayfun DEDE
2019 Current Trends in Civil & Structural Engineering  
These algorithms have been applied to many engineering optimization problems and proved effective for solving some specific kinds of problems.  ...  In this paper, a review of the most popular optimization algorithms used in different problems related to the civil engineering during the last two decades is presented.  ...  Therefore, they together adopted the problems known as resource-constrained project scheduling problem, discrete time-cost trade-off problem, and resource allocation and resource leveling problem in their  ... 
doi:10.33552/ctcse.2019.02.000529 fatcat:r4kkudlbq5ghpi7qvqpfv7xphe

Trends in Models and Algorithms for Fleet Management

Maurizio Bielli, Alessandro Bielli, Riccardo Rossi
2011 Procedia - Social and Behavioral Sciences  
Therefore, new models and algorithms can improve the productivity of resources, efficiency and network capacity.  ...  Many fleet management problems correspond to combinatorial optimization problems, such as vehicle routing and scheduling, that are notoriously difficult to solve, even in a static context.  ...  By applying two practical priority rules, the problem with the second criterion is decomposed and formulated as a series of multi-mode resource constrained project scheduling problems in order to explicitly  ... 
doi:10.1016/j.sbspro.2011.08.004 fatcat:7tgw664otbcobbqxlz2iirlehy

Comparison of Multi-Objective Evolutionary Algorithms to Prioritize Regression Test Cases

2021 International Journal of Emerging Trends in Engineering Research  
In this paper, three Multi Objective Evolutionary Algorithms, namely, NSGA-II, IBEA and MoCell are used to solve test case prioritization problems using the fault detection rate and branch coverage of  ...  The paper intends to find out what's the most effective algorithm to be used in test cases prioritization problems, and which algorithm is the most efficient one, and finally we examined if changing the  ...  Future work may include analyzing other algorithms, as well as analyzing more fitness functions and objectives to further understand how the algorithms behave.  ... 
doi:10.30534/ijeter/2021/019122021 fatcat:tjpqpsxxrbcaznyejm43hqgfxu
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