DOI10.1007/s10898-004-9972-2zbMath1093.90028OpenAlexW2124548165WikidataQ57932105 ScholiaQ57932105MaRDI QIDQ813367
Zelda B. Zabinsky, M. Montaz Ali, Charoenchai Khompatraporn
Publication date: 8 February 2006
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-004-9972-2
Minimizing the sum of many rational functions,
A discrete meta-control procedure for approximating solutions to binary programs,
A modification of the \(\alpha \mathrm{BB}\) method for box-constrained optimization and an application to inverse kinematics,
A review of recent advances in global optimization,
An improved evolution strategy with adaptive population size,
A cover partitioning method for bound constrained global optimization,
Modifications of real code genetic algorithm for global optimization,
A simulated annealing driven multi-start algorithm for bound constrained global optimization,
Particle swarm optimization for problems with variable number of dimensions,
Three new stochastic local search algorithms for continuous optimization problems,
Random derivative-free algorithm for solving unconstrained or bound constrained continuously differentiable non-linear problems,
Best practices for comparing optimization algorithms,
NUMERICAL STUDIES OF SOME GENERALIZED CONTROLLED RANDOM SEARCH ALGORITHMS,
Differential evolution algorithms using hybrid mutation,
Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning,
A CARTOPT METHOD FOR BOUND-CONSTRAINED GLOBAL OPTIMIZATION,
Testing the topographical global initialization strategy in the framework of an unconstrained optimization method,
Efficient solution of many instances of a simulation-based optimization problem utilizing a partition of the decision space,
How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results,
Self-adaptive artificial bee colony,
Some variants of the controlled random search algorithm for global optimization,
Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints,
A nonmonotone line search method for stochastic optimization problems,
Differential evolution with preferential crossover,
Higher and lower-level knowledge discovery from Pareto-optimal sets,
Global minimum cost design of a welded square stiffened plate supported at four corners,
Escaping local minima with local derivative-free methods: a numerical investigation,
Global optimization using a genetic algorithm with hierarchically structured population,
Globally convergent evolution strategies for constrained optimization,
An optimization algorithm inspired by social creativity systems,
Another evolution of generalized differential evolution: variable number of dimensions,
Implementing evolutionary optimization on actual quantum processors,
Optimizing radial basis functions by d.c. programming and its use in direct search for global derivative-free optimization,
A multi-start opposition-based particle swarm optimization algorithm with adaptive velocity for bound constrained global optimization,
Orchard algorithm (OA): a new meta-heuristic algorithm for solving discrete and continuous optimization problems,
Differential evolution with generalized differentials,
Differential evolution algorithm with separated groups for multi-dimensional optimization problems,
Integrated crossover rules in real coded genetic algorithms,
Benchmarking nonlinear optimization software in technical computing environments,
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions,
Parallel and interacting stochastic approximation annealing algorithms for global optimisation,
Pattern discrete and mixed hit-and-run for global optimization,
Unnamed Item,
Evolutionary annealing: global optimization in measure spaces,
A derivative-free variant called DFSA of Dekkers and Aarts' continuous simulated annealing algorithm,
An investigation into the performance of particle swarm optimization with various chaotic maps,
Single Observation Adaptive Search for Continuous Simulation Optimization,
Stochastic constriction cockroach swarm optimization for multidimensional space function problems,
Subset simulation for unconstrained global optimization,
A metamodel-assisted evolutionary algorithm for expensive optimization,
One side cut accelerated random search,
Low dimensional simplex evolution: a new heuristic for global optimization,
Self-adaptive randomized and rank-based differential evolution for multimodal problems,
Heuristic-based firefly algorithm for bound constrained nonlinear binary optimization,
A particle swarm pattern search method for bound constrained global optimization,
A differential free point generation scheme in the differential evolution algorithm,
Nonlinear optimization with GAMS /LGO,
An analytically derived cooling schedule for simulated annealing,
A filling function method for unconstrained global optimization,
Improved Alopex-based evolutionary algorithm by Gaussian copula estimation of distribution algorithm and its application to the Butterworth filter design,
Spectral projected gradient method for stochastic optimization,
Continuous global optimization through the generation of parametric curves,
Population model-based optimization,
Bounds tightening based on optimality conditions for nonconvex box-constrained optimization,
Global optimization through a stochastic perturbation of the Polak-Ribière conjugate gradient method,
An adaptive constraint handling technique for evolutionary algorithms,
A deterministic method for continuous global optimization using a dense curve,
Improved particle swarm algorithms for global optimization,
Real-coded genetic algorithm with uniform random local search,
Some modifications of low-dimensional simplex evolution and their convergence,
Stopping and restarting strategy for stochastic sequential search in global optimization,
Enhancing PSO methods for global optimization,
\textsc{Oscars}-II: an algorithm for bound constrained global optimization,
Optimal feature selection for SAR image classification using biogeography-based optimization (BBO), artificial bee colony (ABC) and support vector machine (SVM): a combined approach of optimization and machine learning,
Operational framework for recent advances in backtracking search optimisation algorithm: a systematic review and performance evaluation,
Annealing evolutionary stochastic approximation Monte Carlo for global optimization,
A trust-region-based derivative free algorithm for mixed integer programming,
A novel population initialization method for accelerating evolutionary algorithms,
Firefly penalty-based algorithm for bound constrained mixed-integer nonlinear programming,
On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization,
Synthesis of the \(\beta\)-distribution as an aid to stochastic global optimization,
Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule,
Gauss-Newton-based BFGS method with filter for unconstrained minimization,
Lévy flight artificial bee colony algorithm,
Tight convex underestimators for \({\mathcal{C}^2}\)-continuous problems. II: Multivariate functions,
A comparative study of some real-coded genetic algorithms for unconstrained global optimization,
Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms,
Benchmarking deterministic optimization algorithms using an outranking approach,
A reassessment of the Snyman-Fatti dynamic search trajectory method for unconstrained global optimization,
The interacting-particle algorithm with dynamic heating and cooling,
A Collection of Test Multiextremal Optimal Control Problems,
A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems,
A numerical study of some modified differential evolution algorithms,
Annealing evolutionary stochastic approximation Monte Carlo for global optimization,
Formal Proofs for Nonlinear Optimization,
Certification of real inequalities: templates and sums of squares,
GLODS: global and local optimization using direct search,
Comparative assessment of algorithms and software for global optimization,
The optimization test environment