H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 30,381 78 World Ranking 5143 National Ranking 169

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Programming language

His primary scientific interests are in Mathematical optimization, Heuristic, Combinatorial optimization, Algorithm and Ant colony optimization algorithms. Specifically, his work in Mathematical optimization is concerned with the study of Ant colony. His research integrates issues of Optimization problem and Heuristics in his study of Combinatorial optimization.

His Optimization problem research is multidisciplinary, incorporating elements of Simulated annealing and Artificial intelligence. His Ant colony optimization algorithms study combines topics from a wide range of disciplines, such as Parallel metaheuristic, Metaheuristic and Extremal optimization. His Extremal optimization research includes themes of Tabu search, Greedy algorithm, ANT, Artificial Ants and Premature convergence.

His most cited work include:

  • Ant system: optimization by a colony of cooperating agents (8983 citations)
  • Distributed Optimization by Ant Colonies (2226 citations)
  • The ant system applied to the quadratic assignment problem (689 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Mathematical optimization, Metaheuristic, Optimization problem, Heuristic and Combinatorial optimization. His Mathematical optimization research focuses on Algorithm and how it relates to Vehicle routing problem. His research investigates the connection between Metaheuristic and topics such as Tabu search that intersect with issues in Simulated annealing.

Vittorio Maniezzo has researched Optimization problem in several fields, including Lin–Kernighan heuristic and Artificial intelligence. His research investigates the connection between Ant colony optimization algorithms and topics such as Extremal optimization that intersect with problems in Premature convergence and Greedy algorithm. His study looks at the relationship between Quadratic assignment problem and fields such as Travelling salesman problem, as well as how they intersect with chemical problems.

He most often published in these fields:

  • Mathematical optimization (45.45%)
  • Metaheuristic (27.27%)
  • Optimization problem (20.00%)

What were the highlights of his more recent work (between 2013-2021)?

  • Mathematical optimization (45.45%)
  • Metaheuristic (27.27%)
  • Operations research (4.55%)

In recent papers he was focusing on the following fields of study:

His main research concerns Mathematical optimization, Metaheuristic, Operations research, Parallel computing and Warehouse. His Mathematical optimization research incorporates elements of Algorithm and Vehicle routing problem. His Vehicle routing problem research is multidisciplinary, incorporating perspectives in Lagrange multiplier, Set cover problem, Set and Core.

His research combines Population based and Metaheuristic. His research investigates the connection with Operations research and areas like Scheduling which intersect with concerns in Stochastic optimization. His studies deal with areas such as Cutting stock problem, Guided Local Search, Iterative method, Decomposition and Knapsack problem as well as Heuristics.

Between 2013 and 2021, his most popular works were:

  • Algorithms for nesting with defects (28 citations)
  • A set covering based matheuristic for a real‐world city logistics problem (22 citations)
  • Using GPU Computing for Solving the Two-Dimensional Guillotine Cutting Problem (5 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Algorithm
  • Programming language

The scientist’s investigation covers issues in Mathematical optimization, Algorithm, Heuristic, Metaheuristic and Combinatorial optimization problem. His Mathematical optimization study incorporates themes from Core and Set. His Algorithm research integrates issues from Vehicle routing problem, Lagrangian relaxation and Heuristics.

His Heuristic study combines topics in areas such as Lagrange multiplier, Set cover problem, Knapsack problem, Relaxation and Nesting. Vittorio Maniezzo interconnects Dynamic programming, CUDA and Computational science in the investigation of issues within Combinatorial optimization problem.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Ant system: optimization by a colony of cooperating agents

M. Dorigo;V. Maniezzo;A. Colorni.
systems man and cybernetics (1996)

15070 Citations

Ant Colony Optimization

Vittorio Maniezzo;Luca Maria Gambardella;Fabio de Luigi.
(2004)

5844 Citations

Distributed Optimization by Ant Colonies

Alberto Colorni;Marco Dorigo;Vittorio Maniezzo;Francisco Varela.
european conference on artificial life (1992)

4777 Citations

The ant system applied to the quadratic assignment problem

V. Maniezzo;A. Colorni.
IEEE Transactions on Knowledge and Data Engineering (1999)

1228 Citations

Ant system for Job-shop Scheduling

Alberto Colorni;Marco Dorigo;Vittorio Maniezzo;Marco Trubian.
Belgian journal of operations research, statistics and computer science (1994)

1227 Citations

Genetic evolution of the topology and weight distribution of neural networks

V. Maniezzo.
IEEE Transactions on Neural Networks (1994)

770 Citations

An Investigation of Some Properties of an Ant Algorithm

Alberto Colorni;Marco Dorigo;Vittorio Maniezzo;Reinhard Manner.
parallel problem solving from nature (1992)

710 Citations

Exact and Approximate Nondeterministic Tree-Search Procedures for the Quadratic Assignment Problem

Vittorio Maniezzo.
Informs Journal on Computing (1999)

489 Citations

An Exact Algorithm for the Resource-Constrained Project Scheduling Problem Based on a New Mathematical Formulation

Aristide Mingozzi;Vittorio Maniezzo;Salvatore Ricciardelli;Lucio Bianco.
Management Science (1998)

462 Citations

Heuristics from Nature for Hard Combinatorial Optimization Problems

Alberto Colorni;Marco Dorigo;Francesco Maffioli;Vittorio Maniezzo.
International Transactions in Operational Research (1996)

424 Citations

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