Local search techniques have been successful in solving large and tight constraint satisfaction problems. Local search algorithms turn out to be effective in solving many constraint satisfaction problems. This chapter gives an introduction to the local search algorithms, the optimization and the constraint...
Optimization of parallel iterated local search algorithms on graphics processing unit. Y Zhou,F Z He,Y M Qiu. J Surercomput . 2016Zhou, Y., He, F. and Qiu, Y., Optimization of parallel iterated local search algorithms on graphics processing unit, The Journal of Supercomputing, Vol.72, ...
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in comparison with other evolutionary optimization algorithms. However, it suffers from the premature convergence problem and is easily trapped into local optima. This article presents a novel JADE variant by ...
Local search metaheuristics (LSMs) are efficient methods for solving hard optimization problems in science, engineering, economics and technology. By using LSMs, we could obtain satisfactory resolution (approximate optimum) in a reasonable time. However, it is still very CPU time-consuming when solving...
While the local map pack is displayed within the standard Google organic search listings, separate algorithms power the main Google search results for local rankings and the local map pack results. As a local business, you have the opportunity the appear within both the main organic search results...
It essentially allows you to tell search engine algorithms how they should prioritize and crawl your website. The URL slug that you use should reflect the topic of the page — this is another quick way to increase relevance. Treat these on-page signals as a checklist. You should be able ...
There may be debate over what exactly constitutes a global search algorithm; nevertheless, three examples of global search algorithms using our definitions include: Genetic Algorithm Simulated Annealing Particle Swarm Optimization Now that we are familiar with global and local optimization, let’s compare...
First, we introduce a problem specific EA representation and then we add a local search for feasible solutions to improve the performance of the EA. All algorithms are compared on the constrained and unconstrained portfolio optimization ... F Streichert,H Ulmer,A Zell - Springer Berlin Heidelberg...
Standard local search algorithms for combinatorial optimization problems repeatedly apply small changes to a current solution to improve the problem's given objective function. In contrast, non-oblivious local search algorithms are guided by an auxiliary potential function, which is distinct from the prob...
Local search strategies (LSSs) are commonly introduced to promote the convergence of evolutionary algorithm for reactive power optimization (RPO). Existing algorithms for RPO, however, adopt single LSS or several LSSs with similar search characteristics and can not obtain remarkable performance in converg...