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.
Results
Showing 1 to 20 of 50 for “"meta-heuristic"”.
-
Baldwinian-based meta-heuristic for robust engineering optimisation
… nested algorithms, sequential algorithms and metaoptimiser. Two problems were then identified that inexperienced practitioners encounter when trying to apply computational optimisation to real‐world engineering problems. The first is the problem of parameter tuning and the second is the …
-
Optimal distribution network reconfiguration using meta-heuristic algorithms
… added to the distribution network. The heuristic optimization algorithm which is proposed in Chapter 3 and is improved in Chapter 5 is implemented on a smaller case study in Chapter 6 to demonstrate that the identified solution through the optimization process is the same with the …
-
Water resources decision making using meta-heuristic optimization methods
… The dissertation's focus was to investigate meta-heuristic (global) optimization methods suitable for developing water resources decision support system (DSS), particularly to optimally design and operate groundwater storage and recovery projects. The effort included developing an integrated …
-
Robust meta-heuristic algorithm for pattern generation with discrete variables.
Robust meta-heuristic algorithm for pattern generation with discrete variables.
-
Enhancing meta-heuristic algorithms using center-based sampling at population level
… to enhance the efficiency and effectiveness of meta-heuristic algorithms. The strategy of center-based sampling can be utilized at either the operation and/or population levels. Despite the overall efficiency of the center-based sampling in population-based algorithms, utilization at the …
-
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 …
-
Design of surface micro-machined inertial MEMS sensor with meta-heuristic topology optimization
… problem. The aim of this thesis is to develop a meta-heuristic TO method using Simulated Annealing (SA) to solve non-convex and multi constraint TO problems without gradient information. This TO utilizes crystallization factors to improve the convergence and reduces computational costs in TO. The …
-
Definition of a Common Formulation of Military Frequency Assignment Problems and the Application of Meta-Heuristic Algorithms
… in a form which allows the application of meta-heuristic algorithms. Currently different frequency assignment systems are in use in the four areas of the military, in the categories of land, air, maritime and satellite. The tasks are to define the common aspects of the relevant frequency …
-
Optimizing resource allocation in a portfolio of projects related to technology infusion using heuristic and meta-heuristic methods
… infusion are recommended. Initially, a heuristic method is proposed based on priority rules. However, as the assumptions of the model are loosened a novel method is suggested that combines Genetic Algorithm (GA) and Artificial Bee Colony (ABC). Numerical results indicate that the hybrid …
-
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 …
-
In vivo research scheduling and coordination in the pharmaceutical industry
… and procedure start time. A Tabu search meta-heuristic has been developed to generate a near-optimal solution. The solution approach uses four neighborhood move strategies based on insert and interval exchange algorithms to optimize procedural room assignments. Although a functioning …
-
Models and algorithms for the empty container repositioning and its integration with routing problems
… Programming formulation and propose an efficient meta-heuristic algorithm able to solve it. The meta-heuristic determines the initial solution by a variant of the Clarkeand-Wright algorithm, and improves it by several local search phases, in which both node movements and truck swaps are …
-
The construction of optimal socially responsible investment portfolios in South Africa using traditional and artificial intelligence techniques
… non-linear and non-convex models. Recently, meta-heuristic artificial intelligence (AI) algorithms have enhanced portfolio construction by addressing such constraints. Socially responsible investment (SRI) has gained popularity for its focus on sustainability, but using Environmental, Social …
-
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: …
-
An approach to robustness in stable marriage and stable roommates problems
… a constraint programming model and a number of meta-heuristic approaches to find a (1,b)-supermatch that minimizes the value of 'b' for the RSM. Following the results on the RSM, we extend the notion of (a,b)-supermatches to the Stable Roommates problem (SR), namely, the Robust Stable Roommates …
-
Integrated supply chain models and analysis
… solution approaches. Second, we develop two meta-heuristic solution approaches for a multi-product production/distribution system design (PDSD) problem, which has been studied in literature and solved with Scatter search and Tabu search. We propose to solve the problem with two meta-heuristic …
-
Optimization Models and Algorithms for Spatial Scheduling
… approximation algorithms were developed: greedy heuristics for finding fast, feasible solutions; and hybrid meta-heuristic algorithms to search for near-optimal solutions. A flexible hybrid algorithm framework was developed, and a number of hybrid algorithms were devised from this framework that …
-
Calibration of dynamic traffic assignment models with point-to-point traffic surveillance
… based path search method (SPSA), a random search meta-heuristic (GA) and a Monte-Carlo simulation based technique (Particle Filter). The methodology is first tested using a small synthetic study network to illustrate its effectiveness. Later the methodology is applied to a real traffic network in …
-
Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
This thesis presents a new meta-heuristic approach technique for optimal location and sizing of multi-unit Flexible Alternating Currents System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the first …
-
Optimal consignment stocking policies for a supply chain under different system constraints
… variables being considered. Three doubly-hybrid meta-heuristic algorithms that combine two different hybrid meta-heuristic algorithms are developed to provide a solution procedure for the rest of models. Numerical experiments illustrate the solution procedures and reveal the effects of the …
Page 1 of 3