Sentence examples for searching problems from inspiring English sources

The problem is firstly formulated as a nonlinear constrained optimization problem, which is then converted to a series of projection gradient optimization problems and step searching problems, which are either convex or linear.

This book aims at remedying this lack of flexibility by providing a number of general techniques for turning static data structures for searching problems into dynamic structures.

Although swarm intelligence approaches are attractive methods for robotic target searching problems, these strategies have two important disadvantages: First, they may get stuck on local optima.

This heuristic is routinely used to generate practical solutions to optimization and searching problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

With the inference procedure being transposed into a kind of MOCO problem, we might constrain the multiobjective iterative searching problems with reasonable terms from acquired knowledge, experimental conditions, and other computational considerations or decision-makers' preferences.

Several genetic algorithms and simulated annealing algorithms were developed and tested for different size searching problems.

This approach amplifies the versatility of the formation of mobile robots in the target searching problem.

We then turned the classical linkage path generation problem into a library searching problem together with a local optimization problem.

The searching problem is solved by relaxing to a continuous convex optimization problem.

7. In this paper, we formalize the composition task as a state-based searching problem.

In this paper, we propose an alternative solution for this searching problem.