What does TSP stand for?

The book reviews algorithmic development in the context of GAs and GP, and describes their application to two combinatorial optimization problems (the traveling salesman problem and the capacitated vehicle routing problem) using HeuristicLab, a paradigm-independent and extensible environment for heuristic optimization, as a platform for algorithmic development.

Heuristics for the TRAVELING SALESMAN problem (TSP) provide a good example.

Lenstra [25] has earlier pointed out a connection between clustering problems and certain variants of the traveling salesman problem.

The traveling salesman problem consists of having a variety of routes to consider and striving to choose the best path based on factors such as distance, latency, bandwidth, etc.

A sampling of topics: traders' behavioral propensities and stock market dynamic regimes in a stochastic multi-agent model, research of ASP procurement service mode oriented to small and medium-sized enterprises, comparison of AIS and PSO for constrained portfolio optimization, a risk assessment model based on discriminant analysis, the economic importance of ICT in Iran input-output approach, empirical study on content of strategic human resource management in China, local random subspace method for constructing multiple decision stumps, the impact of foreign investment in Pakistan, and discrete fuzzy particle swarm optimization for solving traveling salesman problem.

These improved ant algorithms are competitive with other state-of-the-art approaches to the traveling salesman problem, Dorigo says.

A sampling of topics: an interface between the situation calculus and logic programming, machine learning tools to time series forecasting, cellular mathematical morphology, a linguistically-based approach to detect causality relations in unrestricted text, uncertain reasoning in multi-agent ontology mapping on the semantic web, a comparative study of three metaheuristics applied to the traveling salesman problem, nonlinear servo adaptive fuzzy tracking, intelligent tutoring system with affective behavior, and a bio-inspired method for friction estimation.