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We present distributed algorithms that can be used by multiple agents to align their estimates with a particular value over a… Expand This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained… Expand Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with… Expand Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with… Expand Penalty functions are often used in constrained optimization. However, it is very difficult to strike the right balance between… Expand L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the… Expand An algorithm for solving large nonlinear optimization problems with simple bounds is described. It is based on the gradient… Expand This paper presents an application of genetic algorithms (GAs) to nonlinear constrained optimization. GAs are general purpose… Expand We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmooth nonconvex constrained… Expand A new method for finding the maximum of a general non-linear function of several variables within a constrained region is… Expand