In the case where the search space has a group structure, classical genetic operators (mutation and two-parent crossover) which respect the group action are completely characterize...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
Neighborhood search heuristics like local search and its variants are some of the most popular approaches to solve discrete optimization problems of moderate to large size. Apart ...
— This paper presents new upper bounds for binary covering arrays of variable strength constructed by using a new Simulated Annealing (SA) algorithm. This algorithm incorporates ...
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...