Search Results - subject:"continuous optimization"

Modified differential evolution with locality induced genetic operators for dynamic optimization

Mukherjee, Rohan; Debchoudhury, Shantanab; Das, Swagatam - In: European journal of operational research : EJOR 253 (2016) 2, pp. 337-355

Persistent link: https://www.econbiz.de/10011490318

Solving air traffic conflict problems via local continuous optimization

Peyronne, Clément; Conn, Andrew R.; Mongeau, Marcel; … - In: European Journal of Operational Research 241 (2015) 2, pp. 502-512

formulation of the separation constraint involved in air traffic conflict problems. A new continuous optimization formulation of …, combinatorial optimization approaches to this problem, but, moreover, local continuous optimization methods, which require …

Persistent link: https://www.econbiz.de/10011077632

Solving air traffic conflict problems via local continuous optimization

Peyronne, Clément; Conn, Andrew R.; Mongeau, Marcel; … - In: European journal of operational research : EJOR 241 (2015) 2, pp. 502-512

Persistent link: https://www.econbiz.de/10010487975

Probabilistic properties of fitness-based quasi-reflection in evolutionary algorithms

Ergezer, Mehmet; Simon, D. - In: Computers & operations research : and their … 63 (2015), pp. 114-124

Persistent link: https://www.econbiz.de/10011344144

A unified ant colony optimization algorithm for continuous optimization

Liao, Tianjun; Stützle, Thomas; Montes de Oca, Marco A.; … - In: European Journal of Operational Research 234 (2014) 3, pp. 597-609

In this article, we propose UACOR, a unified ant colony optimization (ACO) algorithm for continuous optimization. UACOR … includes algorithmic components from ACOR,DACOR and IACOR-LS, three ACO algorithms for continuous optimization that have been … continuous optimization and suggest that automatic algorithm configuration is a viable approach for designing state …

Persistent link: https://www.econbiz.de/10011052802

Finding multiple roots of a box-constrained system of nonlinear equations with a biased random-key genetic algorithm

Silva, Ricardo; Resende, Mauricio; Pardalos, Panos - In: Journal of Global Optimization 60 (2014) 2, pp. 289-306

Several numerical methods for solving nonlinear systems of equations assume that derivative information is available. Furthermore, these approaches usually do not consider the problem of finding all solutions to a nonlinear system. Rather, most methods output a single solution. In this paper, we...

Persistent link: https://www.econbiz.de/10010937780

A unified ant colony optimization algorithm for continuous optimization

Liao, Tianjun; Stützle, Thomas G.; Montes de Oca, Marco A. - In: European journal of operational research : EJOR 234 (2014) 3, pp. 597-609

Persistent link: https://www.econbiz.de/10010360502

Three new stochastic local search algorithms for continuous optimization problems

Chetty, Sivashan; Adewumi, Aderemi - In: Computational Optimization and Applications 56 (2013) 3, pp. 675-721

been tested on a large collection of benchmark unconstrained continuous optimization functions. They were benchmarked …

Persistent link: https://www.econbiz.de/10010728119

Optimal algorithms for the α-neighbor p-center problem

Chen, Doron; Chen, Reuven - In: European Journal of Operational Research 225 (2013) 1, pp. 36-43

Assigning multiple service facilities to demand points is important when demand points are required to withstand service facility failures. Such failures may result from a multitude of causes, ranging from technical difficulties to natural disasters. The α-neighbor p-center problem deals with...

Persistent link: https://www.econbiz.de/10011052744

Two-stage based ensemble optimization framework for large-scale global optimization

Wang, Yu; Huang, Jin; Dong, Wei Shan; Yan, Jun Chi; … - In: European Journal of Operational Research 228 (2013) 2, pp. 308-320

Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In order to strengthen both effectiveness and efficiency of LSGO algorithm, this paper designs a two-stage based ensemble...

Persistent link: https://www.econbiz.de/10010662527