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 16 of 16 for “"meta-heuristics"”.
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Berth Scheduling at Seaports: Meta-Heuristics and Simulation
… our knowledge, there is no existing work using meta-heuristics to tackle the BAP with multiple tides that can provide feasible solutions for all the test cases. We propose one single-point meta-heuristic and one population-based meta-heuristic. With our algorithms, we meet the following goals: …
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Meta-raps: Parameter Setting And New Applications
Recently meta-heuristics have become a popular solution methodology, in terms of both research and application, for solving combinatorial optimization problems. Meta-heuristic methods guide simple heuristics or priority rules designed to solve a particular problem. Meta-heuristics enhance these …
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A more robust ant colony learning algorithm : with application to travelling salesman problem
… We have used the Ant System with a different meta-heuristics, to find the shortest tour in a graph. We have analyzed the performance of our proposed algorithm with other algorithms by using the problem instances given in TSPLIB. The proposed modification to the Ant System heuristics will also …
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Hybrid Meta-heuristic Algorithms for Static and Dynamic Job Scheduling in Grid Computing
… This thesis studies the application of hybrid meta-heuristics to the job scheduling problem in grid computing, which is recognized as being one of the most important and challenging issues in grid computing environments. Similar to job scheduling in traditional computing systems, this …
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Multi-objective evolutionary algorithms for product design
… Algorithm II (NSGA-II), including two novel meta-heuristics for enhanced molecular exploration. Our findings reveal that MO-CMA-ES, especially when combined with an extended search meta-heuristic, excels in exploring molecular spaces, establishing it as a preferred method for compound …
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Quantification of uncertainty of geometallurgical variables for mine planning optimisation
Interest in geometallurgy has increased significantly over the past 15 years or so because of the benefits it brings to mine planning and operation. Its use and integration into design, planning and operation is becoming increasingly critical especially in the context of declining ore grades and …
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Cognitive UAS Path-Planning for Large Spatial Search
… time, a pseudo-random search method, known as meta-heuristics, is used to develop a new path planning algorithm to search the field in an intelligent manner. This work develops a means of turning meta-heuristic optimization into a cognitive navigation with autonomous path-planning algorithm …
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Novel Memetic Computing Structures for Continuous Optimisation
… review of local search algorithms and popular meta-heuristics, focuses on Memetic Computing in terms of algorithm structures and design philosophy. In particular, most of the design carried out during my doctoral studies is inspired by the lex parsimoniae, aka Ockham’s Razor. It has been shown …
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Multi-objective optimisation of safety-critical hierarchical systems
… by the designers. To address these difficulties, meta-heuristics such as Genetic Algorithms and Tabu Search algorithms have been applied in the past for automatically determining the optimal allocation of redundancies in a system as a mechanism for optimising the reliability and cost …
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Routing algorithms for optimisation of transportation systems
… uncertainty and dynamism. Multi-threaded meta-heuristics based on Simulated Annealing and Genetic Algorithm are developed with a set of new operators to handle the problem specificities. Computational results on a generated data-set showed that the proposed meta-heuristics are superior to …
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A Metaheuristic-Based Simulation Optimization Framework For Supply Chain Inventory Management Under Uncertainty
… made match closely with the reality. The use of meta-heuristics, as opposed to a traditional method, does not require such assumptions and has allowed more realistic modeling of the inventory control system and its solution. In this dissertation, a metaheuristic-based simulation optimization …
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Application of genetic algorithms for irrigation water scheduling
… a single schedule. For practical applications meta-heuristics such as genetic algorithms, simulated annealing or tabu search methods need to be used. However as reported in the literature, these need to be formulated carefully and tested thoroughly.<br/>This thesis demonstrates how …
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Evolutionary computation based multi-objective design search and optimization of spacecraft electrical power subsystems
… To facilitate the intelligent search process, meta-heuristics techniques are exploited in this work to provide computationally inexpensive design optimization. It extends the existing concept of computer-aided design to computer-automated design. To make the process of trade selection more …
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Decomposition Evolutionary Algorithms for Noisy Multiobjective Optimization
… developed, based on computer experiments with meta-heuristic algorithms. Most of these meta-heuristics implement some sort of stochastic search method, amongst which the 'Evolutionary Algorithm' is garnering much attention. It possesses several characteristics that make it a desirable method …
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Simulation-based optimisation of public transport networks
Public transport network design deals with finding the most efficient network solution among a set of alternatives, that best satisfies the often-conflicting objectives of different network stakeholders like passengers and operators. Simulation-based Optimisation (SBO) is a discipline that solves …