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Ant system: optimization by a colony of cooperating agents
TLDR
An analogy with the way ant colonies function has suggested the definition of a new computational paradigm, which we call ant system (AS). Expand
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Distributed Optimization by Ant Colonies
TLDR
Ants colonies exhibit very interesting behaviours: even if a single ant only has simple capabilities, the behaviour of a whole ant colony is highly structured. Expand
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1 Positive Feedback as a Search Strategy
A combination of distributed computation, positive feedback and constructive greedy heuristic is proposed as a new approach to stochastic optimization and problem solving. Positive feedback accountsExpand
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Ant System: An Autocatalytic Optimizing Process
A combination of distributed computation, positive feedback and constructive greedy heuristic is proposed as a new approach to stochastic optimization and problem solving. Positive feedback accountsExpand
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The Ant System Applied to the Quadratic Assignment Problem
TLDR
We propose a distributed heuristic algorithm that was inspired by the observation of the behavior of ant colonies, and we propose its use for the quadratic assignment problem. Expand
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Exact and Approximate Nondeterministic Tree-Search Procedures for the Quadratic Assignment Problem
  • V. Maniezzo
  • Mathematics, Computer Science
  • INFORMS J. Comput.
  • 1 April 1999
TLDR
This article introduces two new techniques for solving the Quadratic Assignment Problem. Expand
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Ant system for Job-shop Scheduling
TLDR
We show how a new heuristic called ant system, in which the search task is distributed over many simple, loosely interacting agents, can be successfully applied to find good solutions of job-shop scheduling problems. Expand
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An Investigation of some Properties of an "Ant Algorithm"
TLDR
We have used the metaphor of ant colonies to define "the Ant system", a class of distributed algorithms for combinatorial optimization. Expand
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Genetic evolution of the topology and weight distribution of neural networks
  • V. Maniezzo
  • Computer Science, Medicine
  • IEEE Trans. Neural Networks
  • 1994
TLDR
This paper proposes a system based on a parallel genetic algorithm with enhanced encoding and operational abilities to evolve feedforward neural networks. Expand
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An Exact Algorithm for the Resource-Constrained Project Scheduling Problem Based on a New Mathematical Formulation
In this paper we consider the Project Scheduling Problem with resource constraints, where the objective is to minimize the project makespan. We present a new 0-1 linear programming formulation of theExpand
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