well as theoretical and research models, this book is designed to stimulate new debate and criticism of

; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning

models resulting from the introduction of real features. Other linear models, such as models for

, both from the theoretical as well as applied perspective. This book consists of 33 articles, which are

extensively used to create theoretical models for analyzing agricultural growth. The results demonstrate that

bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models

Linear Programming Models and Methods of Matrix Games with Payoffs of Triangular Fuzzy Numbers Li

cognitive workload and fatigue (Stephen J. Guastello) -- 3 Experimental Analysis of Cusp Models (Stephen J

challenging. Theoretical analyses of several models and algorithms, to uncover existence, uniqueness and

game-theoretical approach to Markov decision processes, stochastic positional games and multicriteria control

inter-temporal network optimization model designed to determine deployment and employment of the OpLog support

: A Review: Customer Returns in Fashion Retailing -- Part II: Theoretical economic models -- 4: The