A Local Search System for Solving Constraint Problems of Declarative Graph-Based Global Constraints

2005 ◽  
pp. 166-184
Author(s):  
Markus Bohlin
Keyword(s):  
Local Search ◽  
Global Constraints ◽  
Search System

Solution Attractor of Local Search System: A Method to Reduce Computational Complexity of the Traveling Salesman Problem

2020 ◽  
Author(s):  
Weiqi Li
Keyword(s):  
Computational Complexity ◽  
Local Search ◽  
Traveling Salesman Problem ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Solution Space ◽  
Search Space ◽  
Traveling Salesman ◽  
Search System ◽  
The Traveling Salesman Problem

The traveling salesman problem (TSP) is presumably difficult to solve exactly using local search algorithms. It can be exactly solved by only one algorithm—the enumerative search algorithm. However, the scanning of all possible solutions requires exponential computing time. Do we need exploring all the possibilities to find the optimal solution? How can we narrow down the search space effectively and efficiently for an exhausted search? This chapter attempts to answer these questions. A local search algorithm is a discrete dynamical system, in which a search trajectory searches a part of the solution space and stops at a locally optimal point. A solution attractor of a local search system for the TSP is defined as a subset of the solution space that contains all locally optimal tours. The solution attractor concept gives us great insight into the computational complexity of the TSP. If we know where the solution attractor is located in the solution space, we simply completely search the solution attractor, rather than the entire solution space, to find the globally optimal tour. This chapter describes the solution attractor of local search system for the TSP and then presents a novel search system—the attractor-based search system—that can solve the TSP much efficiently with global optimality guarantee.

scholarly journals A Hybrid of Modified PSO and Local Search on a Multi-Robot Search System

10.5772/60624 ◽  
2015 ◽  
Vol 12 (7) ◽  
pp. 86 ◽  
Author(s):  
Mohammad Naim Rastgoo ◽  
Bahareh Nakisa ◽  
Mohd Zakree Ahmad Nazri
Keyword(s):  
Local Search ◽  
Search System ◽  
Modified Pso ◽  
Multi Robot
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