Results 11 to 20 of about 616,628 (303)
An Improved Genetic Algorithm for Constrained Optimization Problems
IEEE Access, 2023 The mathematical form of many optimization problems in engineering is constrained optimization problems. In this paper, an improved genetic algorithm based on two-direction crossover and grouped mutation is proposed to solve constrained optimization ...
Fulin Wang, Gang Xu, Mo Wang
doaj +1 more source
Modification of Non-Linear Constrained Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2004 In this paper we have investigated a new initial parameter, the new parameter is to make balance between interior suitable for inequality constrained exterior method (suitable for equality and inequality constrained) for non-linear constrained ...
Ban Mitras
doaj +1 more source
Distributed Interval Optimization Over Time-Varying Networks: A Numerical Programming Perspective
IEEE Access, 2023 In this study, we investigate a distributed interval optimization problem involving agents linked by a time-varying network, optimizing interval objective functions under global convex constraints.
Yinghui Wang +3 more
doaj +1 more source
QGOpt: Riemannian optimization for quantum technologies
SciPost Physics, 2021 Many theoretical problems in quantum technology can be formulated and addressed as constrained optimization problems. The most common quantum mechanical constraints such as, e.g., orthogonality of isometric and unitary matrices, CPTP property of ...
Ilia A. Luchnikov, Alexander Ryzhov, Sergey N. Filippov, Henni Ouerdane
doaj +1 more source
Quantum-Inspired Hierarchy for Rank-Constrained Optimization
PRX Quantum, 2022 Many problems in information theory can be reduced to optimizations over matrices, where the rank of the matrices is constrained. We establish a link between rank-constrained optimization and the theory of quantum entanglement.
Xiao-Dong Yu +3 more
doaj +1 more source
Certificates of infeasibility via nonsmooth optimization [PDF]
, 2015 An important aspect in the solution process of constraint satisfaction problems is to identify exclusion boxes which are boxes that do not contain feasible points.
Fendl, Hannes +2 more
core +2 more sources
Evolutionary approach for dynamic constrained optimization problems
Alexandria Engineering Journal, 2023 The number of research works on dynamic constrained optimization problems has been increasing rapidly over the past two decades. In this domain, many real-life decision problems need to be solved repeatedly with changing data and parameters.
Noha Hamza +3 more
doaj +1 more source
Distribution‐constrained optimal stopping
Mathematical Finance, 2018 AbstractWe solve the problem of optimal stopping of a Brownian motion subject to the constraint that the stopping time's distribution is a given measure consisting of finitely many atoms. In particular, we show that this problem can be converted to a finite sequence of state‐constrained optimal control problems with additional states corresponding to ...
Bayraktar, Erhan, Miller, Christopher W.
openaire +4 more sources
Energies, 2022 This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO) method to solve complex constrained optimization problems. The effectiveness of mQOGWO is examined on (i) 23 mathematical benchmark functions with different dimensions ...
Salil Madhav Dubey +2 more
doaj +1 more source