Development Of Inexact Optimization Methodologies For Resources And Environmental Management Under Dual Uncertainties

Development of Inexact Optimization Methodologies for Resources and Environmental Management Under Dual Uncertainties

Resources and environmental management has been of substantial concerns due to the rapid socio-economic development associated with increasing pollution problems and decreasing resources availabilities. Effective management technologies are necessary to assist decision makers (DMs) in regulating sustainable development plans. Although a number of optimization techniques have been proposed in response to these concerns, advanced methods are desired for dealing with various uncertainties that exist in resources and environmental management systems.

Handbook of Formal Optimization

The formal optimization handbook is a comprehensive guide that covers a wide range of subjects. It includes a literature review, a mathematical formulation of optimization methods, flowcharts and pseudocodes, illustrations, problems and applications, results and critical discussions, and much more. The book covers a vast array of formal optimization fields, including mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and their applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field.

Development of Inexact Optimization Methods for Planning Environmental Management Systems Under Multiple Uncertainties