To address this problem, a multiobjective ant colony optimization algorithm based on dynamic constraint evaluation strategy (MOACO-DCE) is proposed in this article. First, a dynamic constraint ...

It is difficult to solve complex multi-stage decision problems with strong non-linearity, high dimensional or complex constraints. In contrast to the limitation of dynamic programming techniques and ...

Wenrui Zhang, Application of an Improved Ant Colony Algorithm in Coastal Tourism Route Optimization, Journal of Coastal Research, Special Issue No. 98: Recent Developments in Practices and Research on ...

Ants first used sideways corrective moves to bypass the block. Three-quarters of the colonies were then able to determine the next best route from the nest to the food source.

The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...

With the rise of multi-core and distributed architectures, optimization techniques based on heuristics including ant colony optimization (ACO) are being developed and applied.