Rapid industrialization has fueled the need for effective optimization solutions, which has led to the widespread use of meta-heuristic algorithms. Among t
In this section, 24 optimization problems with constraints are described. They are all transformed into the following format: Minimize f( x), x = [x 1 , x 2 , . . . , x n ] (1) subject to: g i ( x) ≤ 0, i = 1, . . . , q h j ( x) = 0, j = q +1, . ....
摘要原文 Conditional gradient methods have attracted much attention in both machine learning and optimization communities recently. These simple methods can guarantee the generation of sparse solutions. In addition, without the computation of full gradients, they can handle huge-scale problems sometimes eve...
H. Moser, Finding Optimal Solutions for Covering and Matching Problems, PhD thesis, Institut für Informatik, Friedrich-Schiller Universität Jena, 2009. Google Scholar [35] H. Moser, R. Niedermeier, M. Sorge Algorithms and experiments for clique relaxations—finding maximum s-plexes Proceedings of...
multiobjective linear optimization problems (MOMIP, MOLP, MOIP, MOCO). It integrates several exact algorithms for computing the set of non-dominated pointsYN, and the corresponding complete set of efficient solutionsXE, for structured and non-structured optimization problems with at least two ...
There exist many different types of non-linear problems (e.g., dynamic stochastic general equilibrium), for which there exist no closed-form solutions and solving these problems is challenging. The log-linearization approach can be applied for such cases. When using the log-linearization approach,...
batches, random coordinate descent, and sublinear algorithms. It also briefly touches upon convex relaxation of combinatorial problems and the use of randomness to round solutions, as well as random walks based methods. Convex Optimization: Algorithms and Complexity 2025 pdf epub mobi 电子书...
PDF Documentation Global Optimization Toolboxprovides functions that search for global solutions to problems that contain multiple maxima or minima. Toolbox solvers include surrogate, pattern search, genetic algorithm, particle swarm, simulated annealing, multistart, and global search. You can use these ...
In addition to the naturally occurring formation fractures, the drilling process inherently induces cracks and fissures along the borehole wall and under normal conditions this does not pose any problems for the drilling operations. However when the stresses induced by drilling are too high, the ...
Recent years have witnessed huge advances in computer technology and communication networks, entailing hard optimization problems in areas such as network design and routing. Metaheuristics are general high-level procedures that coordinate simple heuristics and rules to find good approximate solutions to com...