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| Author | : Dirk Muschalla |
| Publisher | : |
| Total Pages | : |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
| Author | : Ehsan Goodarzi |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2016-09-03 |
| Genre | : Technology & Engineering |
| ISBN | : 9783319380919 |
This book presents the basics of linear and nonlinear optimization analysis for both single and multi-objective problems in hydrosystem engineering. The book includes several examples with various levels of complexity in different fields of water resources engineering. The examples are solved step by step to assist the reader and to make it easier to understand the concepts. In addition, the latest tools and methods are presented to help students, researchers, engineers and water managers to properly conceptualize and formulate resource allocation problems, and to deal with the complexity of constraints in water demand and available supplies in an appropriate way.
| Author | : Oliver Schütze |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 504 |
| Release | : 2012-08-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642315194 |
This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
Most of the real world problems in water resources involve nonlinear formulations in their solution construction. Obtaining optimal solutions for large scale nonlinear optimization problems is always a challenging task. The conventional methods, such as linear programming (LP), dynamic programming (DP) and nonlinear programming (NLP) may often face problems in solving them. Recently, there has been an increasing interest in biologically motivated adaptive systems for solving real world optimization problems. The multi-member, stochastic approach followed in Evolutionary Algorithms (EA) makes them less susceptible to getting trapped at local optimal solutions, and they can search easier for global optimal solutions. In this thesis, efficient optimization techniques based on swarm intelligence and evolutionary computation principles have been proposed for single and multi-objective optimization in water resource systems. To overcome the inherent limitations of conventional optimization techniques, meta-heuristic techniques like ant colony optimization (ACO), particle swarm optimization (PSO) and differential evolution (DE) approaches are developed for single and multi-objective optimization. These methods are then applied to few case studies in planning and operation of reservoir systems in India. First a methodology based on ant colony optimization (ACO) principles is investigated for reservoir operation. The utility of the ACO technique for obtaining optimal solutions is explored for large scale nonlinear optimization problems, by solving a reservoir operation problem for monthly operation over a long-time horizon of 36 years. It is found that this methodology relaxes the over-year storage constraints and provides efficient operating policy that can be implemented over a long period of time. By using ACO technique for reservoir operation problems, some of the limitations of traditional nonlinear optimization methods are surmounted and thus the performance of the res.
| Author | : K.L. Katsifarakis |
| Publisher | : WIT Press |
| Total Pages | : 175 |
| Release | : 2012-07-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1845646649 |
With population of our planet exceeding seven billion, funds for infrastructure works being limited worldwide and climate change affecting water resources, their optimal development and management is literally vital. This volume deals with application of some non-traditional optimization techniques to hydraulics, hydrology and water resources management and aims at helping scientists dealing with these issues to reach the best decisions. Chapter 1 is a brief introduction to optimization and its application to water resources management. Chapter 2 is dedicated to genetic algorithms. Chapter 3 focuses on applications of genetic algorithms to hydraulic networks, mainly irrigation ones. Chapter 4 is dedicated to simulated annealing. The particle swarm method (PSO) is discussed in Chapter 5. In Chapter 6 the basic concepts and features of Tabu search are presented and its coupling with other heuristic optimizers is discussed. Chapter 7 is dedicated to the Harmony Search method. Finally, Chapter 8 deals with the Outer Approximation method. This book is aimed at engineers and other scientists working on water resources management and hydraulic networks.
| Author | : Francesco Di Pierro |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 188 |
| Release | : 2009 |
| Genre | : |
| ISBN | : 9783838303178 |
Over the last ten years, Multi-Objective Evolutionary Algorithms (MOEAs) have undergone tremendous development and have been successfully applied in various fields. However, an increasingly expanding basis of our knowledge of natural processes and engineering requirements, and social awareness have led to the formulation of problems requiring a large number of criteria. This has posed a serious challenge for traditional MOEAs, and has led researchers to begin investigating the issues related to the optimization of problems with more than three objectives, usually referred to as Many-Objective Problems. Motivated by the need to provide researchers and practitioners interested in water resources engineering with an optimization method to effectively solve problems formulated with many objectives, this thesis is an effort to advance in the field of Evolutionary Many-objective Optimisation. In order to meet this goal, this book provides a review and analysis of the issues arising in this setting, describes a new methodology, demonstrates its effectiveness through extensive experiments and shows the relevance to the water resources engineering field through a case study.
| Author | : Janga Reddy Manne |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 284 |
| Release | : 2010 |
| Genre | : Artificial intelligence |
| ISBN | : 9783838302201 |
Traditional optimization methods are no longer adequate to solve complex real life problems, as most of them involve nonlinear, discontinuous, non- differentiable, nonconvex, multiobjective functions with mixed variables in their model formulation. Over the last few years, the use of nature inspired meta-heuristic algorithms for systems optimization has increased tremendously, and "swarm intelligence and evolutionary computing techniques" are rapidly emerging as powerful tools for solving practical problems. This book describes efficient computational techniques based on Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Differential Evolution (DE) principles for single and multiple criterion optimization; and hybrid soft-computing techniques such as PSO Neural Network (PSO-NN), Adaptive Network Fuzzy Inference System (ANFIS) for hydrologic forecasting and demonstrates their applications to case studies in reservoir systems operation. This book is intended for people who are willing to learn new technology to solve complex real life problems and especially useful to professional in water resources field.
| Author | : Yaser Kishawi |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 104 |
| Release | : 2013 |
| Genre | : |
| ISBN | : 9783659366024 |
Water Resources Management has been the subject for several studies. Researches are trying to find a sustainable solution to water scarcity world wide. This is the case in the Middle East, in general, and specifically in Gaza Strip in the Palestinian Territories. Gaza Strip severely suffers from lack of water quantity and quality in main water resource within the study area (the Coastal Aquifer). Sustainable solutions had to be proposed to tackle this urgent issue. Multi-objective optimization model could play a significant role to provide an effective decision making tool for the water authorities. This work examines the components, available/required data to establish a baseline for a conceptual Multi-objective optimization model and investigate the ability to apply this approach.Previous literature is reviewed and proposed models (covered part of the Gaza Strip area) while this work propose a model to cover the entire Gaza Strip area. Objectives and constraints are investigated and suggested to suite the study area. Missing data is assessed and recommendations is suggested to apply a full model in the future.
| Author | : Shahram Sahraei |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : |
The first contribution of this research was developing a novel though simple approach to tackle the dominance resistance for solving many-objective water resources problems. The proposed rounded archiving does not need any changes in the structure of the multi-objective (MO) algorithm because it rounds the value of the objectives to the user-specified precision level prior to the dominance check. The results show that the rounded archiving effectively reduces the archive size by up to 87% for algorithms with unbounded archive structure compared to the original archiving strategy in these algorithms. The necessity to tackle the multi-modal characteristic of water resources problems led to developing a novel cluster-based solution archiving strategy to preserve a diverse set of solutions for MO algorithms. Solutions are dynamically clustered in the decision space and solutions that are distant from each other are kept in the archive of good solutions, even if they are globally dominated by solutions from outside their cluster. The proposed method helps the algorithm identify good quality solutions that belong to significantly different parts of the decision space, provides a larger archive size, and detects optimal and near-optimal tradeoffs. The cluster-based optimization developed in this research is also used for approximating parameter uncertainty of hydrologic models in a MO fashion. This algorithm finds distinct parameter sets that satisfy the so-called acceptance thresholds in each optimization trial. The proposed method is either equally effective to or perform better than popular single-objective uncertainty methods for deriving 95% prediction bounds. Furthermore, the acceptance threshold individually specified for each objective in an MO uncertainty approximation method shrinks the behavioral solution space and reduces the size of the behavioral solution set by up to 98% compared to a single-threshold assignment for the aggregated objective formulation. Further research on uncertainty analysis motivated the development of a new multi-modelling framework. The model-wrapper performs better than the individual models, and the weights associated with each model indicate its contribution rate to the model-wrapper in all ranges of streamflow simulation. The proposed framework aids in model selection strategy, especially when a hydrologic model has minimal contribution to the model-wrapper performance.
| Author | : Alexander Martin |
| Publisher | : Birkhäuser |
| Total Pages | : 196 |
| Release | : 2012-07-01 |
| Genre | : Mathematics |
| ISBN | : 9783034804370 |
Water supply- and drainage systems and mixed water channel systems are networks whose high dynamic is determined and/or affected by consumer habits on drinking water on the one hand and by climate conditions, in particular rainfall, on the other hand. According to their size, water networks consist of hundreds or thousands of system elements. Moreover, different types of decisions (continuous and discrete) have to be taken in the water management. The networks have to be optimized in terms of topology and operation by targeting a variety of criteria. Criteria may for example be economic, social or ecological ones and may compete with each other. The development of complex model systems and their use for deriving optimal decisions in water management is taking place at a rapid pace. Simulation and optimization methods originating in Operations Research have been used for several decades; usually with very limited direct cooperation with applied mathematics. The research presented here aims at bridging this gap, thereby opening up space for synergies and innovation. It is directly applicable for relevant practical problems and has been carried out in cooperation with utility and dumping companies, infrastructure providers and planning offices. A close and direct connection to the practice of water management has been established by involving application-oriented know-how from the field of civil engineering. On the mathematical side all necessary disciplines were involved, including mixed-integer optimization, multi-objective and facility location optimization, numerics for cross-linked dynamic transportation systems and optimization as well as control of hybrid systems. Most of the presented research has been supported by the joint project „Discret-continuous optimization of dynamic water systems“ of the federal ministry of education and research (BMBF).
