contexts, together with the underlying theory. Most combinatorial optimization problems can be formulated naturally in terms of graphs and as (integer) linear programs. Therefore this book starts, after an introduction, by reviewing basic graph theory and proving those results in linear and integer pr...
"This volume is an encyclopedic reference and textbook on theory and algorithms in combinatorial optimization. … As befits a reference book, the references are very complete and up to date. … The book has separate topic and author indexes and a very useful glossary of notation. … The book...
Tamir. A theory and algorithms for com- binatorial reoptimization. In David Fern´andez-Baca, editor, LATIN, volume 7256 of Lecture Notes in Computer Science, pages 618-630. Springer, 2012.H. Shachnai, G. Tamir, and T. Tamir. A theory and algorithms for combinatorial reoptimization. ...
This special issue of the Journal of Optimization Theory and Applications is devoted to new developments in the fields of continuous optimization... Status Open for submissions Submission deadline 31 December 2025 Collection SI: 75 Years of Copositivity In the past decades, copositivity gained popula...
deterministic approaches(确定性方法), continuous(连续性),mixed-integer(混合整数) and discrete optimization(离散优化), stochastic optimization(随机优化), particle swarm optimization(粒子群优化), neural network(神经网络), simulated annealing(模拟退火), genetic algorithm(遗传算法), and hybrid methods(混合...
Recently in the studies of air quality forecasting, most of the optimal models have been proposed with the theory of parameter combination. The initial weight and threshold are usually used as parameters for optimization. Du et al. proposed the multi-objective Harris hawks optimization (MOHHO) al...
The Whale Optimization Algorithm (WOA) is a nature-inspired algorithm that mimics the hunting pattern of humpback whales. It involves three main steps: encircling prey, bubble-net attack, and searching for prey. In the algorithm, the location of the optimal solution is initially unknown and is ...
Over years of development, optimization theory and methods have grown in their ability to handle various practical problems. In light of advances in computing systems, optimization approaches have become one of the most promising techniques for engineering applications. To close the gap between optimizat...
Evolutionary-based algorithms are generally based on Darwin's evolutionary theory. Several popular evolutionary-based algorithms, such as the Genetic Algorithm (GA)11 and Differential Evolution (DE) algorithm12 have been proved to be highly efficient. GA uses the methods of reproduction, mutation, and...
magnitude less than that required for conventional approaches screening structures through density functional theory calculation. The flexible framework in combination with a materials database, a graph network, and an optimization algorithm may open new avenues for data-driven crystal structural predictions...