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
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Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis
TL;DR: This paper proposes a two-block linearized ADMM and a multi-block parallel linearization ADMM that can update coupled variables in parallel and work for less restrictive nonconvex problems, where the traditional ADMM may have difficulties in solving subproblems.
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Analyzing radar emitter signals with membrane algorithms
TL;DR: This paper proposes the application of a modified variant of the quantum-inspired evolutionary algorithm based on P systems (QEPS) to the time-frequency atom decomposition for analyzing radar emitter signals.
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A multi-criteria genetic algorithm for the generation of job rotation schedules.
TL;DR: In this paper, a genetic algorithm is proposed to achieve job rotation schedules that aim to reduce the risk of musculoskeletal disorders, obtaining maximum diversification of the jobs carried out during working hours, and taking into account both permanent and temporary disabilities of the workers as well as their preferences.
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Solving a manpower scheduling problem for airline catering using metaheuristics
Sin C. Ho,Janny M. Y. Leung +1 more
TL;DR: In this paper, a manpower scheduling problem with job time windows and job-skills compatibility constraints is studied for airline catering operations, whereby airline meals and other supplies are delivered to aircrafts on the tarmac just before the flights take-off.
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A tabu search with vocabulary building approach for the vehicle routing problem with split demands
Rafael E. Aleman,Raymond R. Hill +1 more
TL;DR: This paper presents a learning procedure, called tabu search with vocabulary building approach (TSVBA) for solving the SDVRP, a population-based search approach that uses a set of solutions to find attractive solution attributes with which to construct new solutions.
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.