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PESO+for Constrained Optimization
2006 IEEE International Conference on Evolutionary Computation, 2006We introduce the PESO+algorithm (Particle Evolutionary Swarm Optimization Plus) for the solution of single objective constrained optimization problems. A novel feature introduced by PESO+is an external archive to store and retrieve “ tolerant” particles found at past tolerance values.
Angel Eduardo Muñoz-Zavala +3 more
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Linearly constrained optimization
Computing, 1989For linearly constrained optimization problems an algorithm is presented which is based on conjugate gradients. Theoretical considerations are not given. Some numerical tests demonstrate a good behaviour of the algorithm.
G. M. Ostrovsky +2 more
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On Constrained Discontinuous Optimization
1998In this paper we extend the results of Ermoliev, Norkin and Wets [8] and Ermoliev and Norkin [7] to the case of constrained discontinuous optimization problems. General optimality conditions for problems with nonconvex feasible sets are obtained. Easily implementable random search technique is proposed.
Ermoliev, Y.M., Norkin, V.I.
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Constrained optimal estimation and control
Automatica, 1997The classical theories of the linear quadratic regulator and of the linear Gaussian estimator define the full gain matrix completely. However, many control and estimation problems would benefit from prescribing a different structure to the gain matrix. Typical is the case of the output feedback control, object of a wide literature since the 1970s.
ARDUINI, Carlo, CURTI, Fabio
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Butterfly Constrained Optimizer for Constrained Optimization Problems
2018An extension of the new optimization algorithm, butterfly optimizer (BO) for the constrained optimization problem is discussed in this paper. This version of BO is called butterfly constrained optimizer (BCO) which mimics the mate-locating behaviors of male butterfly and his behavior toward sunspots.
Abhishek Kumar +3 more
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On optimality conditions for cone-constrained optimization
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003We consider feasible sets given by conic constraints, where the cone defining the constraints is convex with nonempty interior. We study the case where the feasible set is not assumed to be regular in the classical sense of Robinson and obtain a constructive description of the tangent cone under a certain new second-order regularity condition.
Alexey F. Izmailov, Mikhail V. Solodov
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Improved constrained ordinal optimization for simulation-based constrained optimization
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009The performance optimization of many man-made systems belong to simulation-based constrained optimization (SBCO), where the evaluation of both the performance and the constraint have no closed form expression and are based on simulation. The simulation-based estimate of both the performance and the feasibility are usually time-consuming and noisy.
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Optimal Design and Constrained Quasiconvexity
SIAM Journal on Mathematical Analysis, 2000The author considers an optimal design problem of the form \[ \text{Minimize }I(g) = \int_\Omega W(x,g(x),w(x), \nabla w(x)) dx, \] with \(g(x) \in \{a,b\}\), \({1\over |\Omega|} \int_\Omega g = \lambda a + (1 - \lambda)b\), \(\lambda \in(0,1)\) is fixed, \(w\in H^1_0(\Omega)\) is the solution of -div\((g \nabla w)=f\) for a given \(f \in H^{-1}(\Omega)
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Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Bing-Chuan Wang +2 more
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A Survey on Evolutionary Constrained Multiobjective Optimization
IEEE Transactions on Evolutionary Computation, 2023Jing Liang, Xuanxuan Ban, Kunjie Yu
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