Ant Colony Systems have been widely employed in optimization issues primarily focused on path finding optimization, such as Travelling Salesman Problem. The main advantage lies in the choice of the edge to be explored, defined using pheromone trails. This paper proposes the use of Ant Colony Systems to explore a Backus-Naur form grammar whose elements are solutions to a given problem. Similar models, without using Ant Colonies, have been used to solve optimization problems or to automatically generate programs such as Grammatical Swarm (based on Particle Swarm Optimization) and Gramatical Evolution (based on Genetic Algorithms). This work presents the application of proposed Ant Colony Rule Derivation algorithm and benchmarks this novel app...
Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which h...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
Ant colony optimization metaheuristic (ACO) represents a new class of algorithms particularly suited...
Ant colony optimization (ACO) is a constructive metaheuristic that uses an analogue of ant trail phe...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
Abstract. Ant Colony Optimization is a collection of metaheuristics that are inspired by the foragin...
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic ap-proach for solving ha...
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Successful applications coming from biologically inspired algorithm like Ant Colony Optimization (AC...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Abstract. The paper presents a methodology to arrive at optimal truss designs using Ant Colony Optim...
Combinatorial optimisation problems (COPs) pervade human society: scheduling, design, layout, distri...
Limited amount of time and computational resources in industrial domain makes Ant Colony Optimizatio...
Ant colony algorithms as a category of evolutionary computational intelligence can deal with complex...
Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which h...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
Ant colony optimization metaheuristic (ACO) represents a new class of algorithms particularly suited...
Ant colony optimization (ACO) is a constructive metaheuristic that uses an analogue of ant trail phe...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
Abstract. Ant Colony Optimization is a collection of metaheuristics that are inspired by the foragin...
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic ap-proach for solving ha...
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Successful applications coming from biologically inspired algorithm like Ant Colony Optimization (AC...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Abstract. The paper presents a methodology to arrive at optimal truss designs using Ant Colony Optim...
Combinatorial optimisation problems (COPs) pervade human society: scheduling, design, layout, distri...
Limited amount of time and computational resources in industrial domain makes Ant Colony Optimizatio...
Ant colony algorithms as a category of evolutionary computational intelligence can deal with complex...
Ant colony optimization (ACO) algorithms are a recently developed, population-based approach which h...
Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algori...
Ant colony optimization metaheuristic (ACO) represents a new class of algorithms particularly suited...