Many real-life problems arising in science, business, engineering, etc. can bemodeled as nonlinear constrained optimization problems. To solve these problems, population-based stochastic search methods have been frequently used in literature. In this paper, a population-based constraint-handling technique C-SOMGA is used to solve six engineering optimization problems. To show the efficiency of ...

Among the participants were optimization researchers that work on engineering optimization problems and vice versa. The cross fertilization of experts in both fields is crucial for the development of new methods in both communities. Although there is an increasing awareness of common interests, until recently there have been only very few opportunities for the two sides to meet at conferences. ...

Optimization and NMPC in Chemical Engineering Jan Albersmeyer, Moritz Diehl Jan Albersmeyer, Simulation and Optimization Team, Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Im Neuenheimer Feld 368, D-69120 Heidelberg, Germany, e-mail: [email protected] Moritz Diehl, Electrical Engineering Department (ESAT) and Optimization in Engineering ...

Simplified Dolphin Echolocation (SDE) optimization is an improved version of the Dolphin Echolocation optimization. The dolphin echolocation (DE) is a recently proposed metaheuristic algorithm, which was imitated dolphin’s hunting process. The global or near global optimum solution modeled as dolphin’s bait, dolphins send sound in different directions to discover the best bait among their searc...

Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algori...

Abstract: Engineering optimization problems are normally formulated as nonlinear programming problems and adopted in a lot of research to show the effectiveness of new optimization algorithms. These problems are usually solved through deterministic or heuristic methods. Because non-convex functions exist in most engineering optimization problems that possess multiple local optima, the heuristic...