Future paths for integer programming and links to artificial intelligence
TLDR
Four key areas of Integer programming are examined from a framework that links the perspectives of artificial intelligence and operations research, and each has characteristics that appear usefully relevant to developments on the horizon.About:
This article is published in Computers & Operations Research.The article was published on 1986-05-01 and is currently open access. It has received 3985 citations till now. The article focuses on the topics: Integer programming & Tabu search.read more
Citations
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Raccoon Optimization Algorithm
TL;DR: A novel algorithm called the raccoon optimization algorithm (ROA), inspired by the rummaging behaviors of real raccoons for food, which achieves higher accuracy with lower coverage time and is compared with nine other well-known optimization algorithms.
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A hybrid approach using TOPSIS, Differential Evolution, and Tabu Search to find multiple solutions of constrained non-linear integer optimization problems
TL;DR: A novel method to find multiple solutions of multi-modal constrained non-linear integer optimization problems by developing and applied to solve the reformulated problem based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
Dissertation
Developing novel meta-heuristic, hyper-heuristic and cooperative search for course timetabling problems
TL;DR: The research presented in this PhD thesis examines the various ways in which metaheuristics, hyper heuristics and cooperative heuristic search techniques might be applied to the university course timetabling problem.
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State-of-the-Art of Optimal Active and Reactive Power Flow: A Comprehensive Review from Various Standpoints
Ehsan Naderi,Hossein Narimani,Mahdi Pourakbari-Kasmaei,Fernando V. Cerna,Mousa Marzband,Matti Lehtonen +5 more
TL;DR: This paper provides an extensive review of the latest applications of heuristic-based optimization algorithms so as to solve different versions of the OPF problem and a comprehensive review ofThe available methods from various dimensions is presented.
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An integrative approach for measuring semantic similarities using gene ontology
TL;DR: A novel integrative measure called InteGO 2 is proposed to automatically select appropriate seed measures and then to integrate them using a metaheuristic search method and shows that it significantly improves the performance of gene similarity in human, Arabidopsis and yeast.
References
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Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
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Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Book
The Sciences of the Artificial
TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.
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Combinatorial optimization: algorithms and complexity
TL;DR: This clearly written, mathematically rigorous text includes a novel algorithmic exposition of the simplex method and also discusses the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; approximation algorithms, local search heuristics for NPcomplete problems, more.
Book
The Architecture of Cognition
TL;DR: Adaptive Control of Thought (ACT*) as mentioned in this paper is a theory of the basic principles of operation built into the cognitive system and is the main focus of Anderson's theory of cognitive architecture.