Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 100 for “"Metaheuristic"”.
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Metaheuristic strategies for scheduling under uncertainty
… solving methods in the literature, we focus on metaheuristics, which are known to find very good solutions in a short amount of time. For these algorithms to perform well, it is important to define good sets of solutions in which look for the optimal solution. These are well defined for …
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Multiprotocol label switching network optimization by metaheuristic algorithms
… a computationally complex optimization problem.;Metaheuristic optimization algorithms have raised as a mainstream approach for solving MCOP based complex optimization problems. However, metaheuristic algorithms can generate sub-optimal solutions because rooted problems within algorithms that …
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Metaheuristic algorithms for air-route optimization under climate change
… turbulence using both exact algorithms and metaheuristics. We first build a transparent baseline on synthetic grids and small airport networks where edge costs are still-air travel times. This allows reproducible comparisons between Dijkstra’s algorithm (exact, nonnegative additive costs) …
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Problem dependent metaheuristic performance in Bayesian network structure learning.
Bayesian network (BN) structure learning from data has been an active research area in the machine learning field in recent decades. Much of the research has considered BN structure learning as an optimization problem. However, the finding of optimal BN from data is NP-hard. This fact has driven …
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Some applications of continuous variable neighbourhood search metaheuristic (mathematical modelling)
… thesis, the variable neighbourhood search (VNS) metaheuristic (the framework for building heuristic) has been considered. Two variants of variable neighbourhood search metaheuristic have been developed, continuous variable neighbourhood search and reformulation descent variable neighbourhood …
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Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier
Metaheuristic research has proposed promising results in science, business, and engineering problems. But, mostly high-level analysis is performed on metaheuristic performances. This leaves several critical questions unanswered due to black-box issue that does not reveal why certain metaheuristic …
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Multi-mode resource-constrained project schedule problem: metaheuristic solution procedures and extensions
Operations research (OR) heeft als doel processen binnen organisaties te verbeteren of te optimaliseren met behulp van hiervoor ontwikkelde technieken en modellen. De discipline kende zijn oorsprong tijdens WOII, toen aan de hand van wiskundige modellen de logistieke bevoorrading van militair …
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A metaheuristic approach to optimizing a multimodal truck and drone delivery system
… 100 or more customers. This research applies metaheuristic methodology to solve the truck-and-drone problem for scenarios with up to 158 customers in approximately 30 minutes of computation time. The test results confirm an average of 7% to 9% in savings opportunity for a 2-drone baseline over …
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A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty
… system and its solution. In this dissertation, a metaheuristic-based simulation optimization framework is developed for supply chain inventory management under uncertainty. In the proposed framework, any effective metaheuristic can be employed to serve as the optimizer to intelligently search the …
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Control Hierarchies for Critical Infrastructures in Smart Grid Using Reinforcement Learning and Metaheuristic Optimization
<p>The objective of this work is to develop robust control framework for interdependent smart grid infrastructures comprising two critical infrastructures: 1) power distribution networks that are characterized by high penetration of distributed energy resources (DERs), and 2) DC-rail transportation …
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A metaheuristic and simheuristic approach for the p-HUB median problem from a telecommunication perspective
Els últims avenços en la indústria de les telecomunicacions ofereixen grans oportunitats per a ciutadans i organitzacions en un món globalment connectat, però alhora presenten reptes als quals s'enfronten tècnics i enginyers que prenen decisions. Alguns d'aquests reptes es poden modelitzar com a …
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Metaheuristic Optimization for Automatic Arrangement of Power Electronics Components in a Shipboard Electrical Distribution System
This thesis proposes a novel methodology for the automatic placement of Power Electronics Building Blocks (PEBBs) in modular, integrated power corridor designs. These building blocks, which are created and tested offsite for a variety of applications, are currently placed manually during the design …
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Design and testing of a UAV-based, through-rubble vital sign detection RADAR using metaheuristic topology optimization
… unwanted signals on the receive end. Lastly metaheuristic topology optimization was applied towards the design of antennas for the radar front-end. A novel, algorithmic extension to an established metaheuristic algorithm is demonstrated and tested. Additionally a new antenna parametrization …
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Toward enhancing metaheuristic optimization algorithms using center-based sampling strategies for solving single- and multi- objective large-scale problems
Over the last decade, metaheuristic algorithms have become well-established approaches utilized for solving complex real-world optimization problems. Most metaheuristic algorithms have used stochastic strategies in their initialization as well as during the new candidate solution generation process …
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Novel opposition-based sampling methods for efficiently solving challenging optimization problems
… schemes are selected and utilized on well-known metaheuristic algorithms, as case studies. Two categories of case studies are targeted; one for a singlesolution- based metaheuristic (S-metaheuristic) and another one for a population based metaheuristic (P-metaheuristic). A high-ranked …
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THE VEHICLE ROUTING PROBLEM WITH DEMAND RANGES
… distributor is rewarded for delivering more. A metaheuristic, record-to-record travel with demand range (RTRDR), is developed which is capable of solving large problem instances. The metaheuristic is a modification of a successful CVRP metaheuristic used in the past. In this thesis, we report …
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