Optimization Heuristics

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Expert Insights

Sep 23, 2025

The Well-Tempered AI Assistant for Policy Processes: Approximately Optimizing AI Outputs to Empower Policy Discussions

Prompting techniques can approximately optimize artificial intelligence outputs to better align with policy objectives, stakeholder needs, and resource constraints. A violent crime reduction case study illustrates the approach.
Tool

May 28, 2025

Theater Air Base Resiliency Optimization Model (TAB-ROM): Analyst Guide for Version 2.0

This guide helps analysts use the RAND-developed Theater Air Base Resiliency Optimization Model (TAB-ROM) tool, version 2.0, which identifies the most cost-effective mitigation options to consider in the event of a missile attack on an air base.
Research

Jan 19, 2023

Common Authorized Stockage Lists for the U.S. Army's Brigade Combat Teams

Mathematical optimization of a common, periodically updated authorized stockage list for each of the U.S. Army's three types of ground brigade combat teams provides improved performance in support of equipment readiness and reduced transition costs.
Research

Mar 15, 2013

Portfolio Optimization by Means of Multiple Tandem Certainty-Uncertainty Searches: A Technical Description

This paper describes a new approach and associated search schemes for optimization under uncertainty. Analysts can apply this method to a problem with a significantly larger number of decision variables, uncertain parameters, and uncertain scenarios.
Research

Oct 1, 2012

Health Systems, Heuristics, and Comparative Effectiveness Research

Comparative effectiveness research will be hard to use appropriately because context and emotion often dominate a patient's rational decisionmaking and because therapies are provided in different health care environments, making small differences between therapies basically meaningless.
Research

Sep 1, 2012

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

Electronic searches typically yield far more citations than are relevant, and reviewers spend a substantial amount of time screening titles and abstracts to identify potential studies eligible for inclusion in a review.
Jan 1, 1979

Machine-aided heuristic programming : a paradigm for knowledge engineering

Machine-aided heuristic programming is advocated as a paradigm for incorporating domain knowledge in intelligent task performance programs. In this paradigm, a system interactively assimilates a natural language description of a task, advice on how t...
Jan 1, 1979

Heuristics for knowledge acquisition from maps

Acquiring knowledge from a map depends upon procedures for focusing attention, encoding information, and integrating diverse knowledge. This paper describes the heuristics people use to study and learn maps. Verbal protocols obtained from eight subje...
Expert Insights

Jan 1, 1977

Heuristic Modeling Using Rule-Based Computer Systems

Discusses a recent effort to apply heuristic modeling techniques to the topic of international terrorism.
Expert Insights

Jan 1, 1973

A Heuristic Adjacent Extreme Point Algorithm for the Fixed Charge Problem.

An algorithm with three variations for the approximate solution of fixed charge problems. Computational experience shows it is extremely fast and yields very good solutions. The basic approach in all three variants of the algorithm is (1) obtain a ...
Research

Jan 1, 1963

The Heuristic Compiler

An investigation of the kinds of problem-solving activity that are involved in computer programming and the kinds of language and representational means that are needed to produce more sophisticated compilers.
Research

Jan 1, 1963

The Logic Theory Machine: A Model Heuristic Program

A highly detailed program listing for the Logic Theory Machine (LT), a computer program written in Information Processing Language-V (IPL-V), and developed especially for use as a pedagogical model.

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Optimization Heuristics

Optimization Heuristics

Related Topics

Explore RAND’s Work on this Topic

Error

The Well-Tempered AI Assistant for Policy Processes: Approximately Optimizing AI Outputs to Empower Policy Discussions

Theater Air Base Resiliency Optimization Model (TAB-ROM): Analyst Guide for Version 2.0

Common Authorized Stockage Lists for the U.S. Army's Brigade Combat Teams

Portfolio Optimization by Means of Multiple Tandem Certainty-Uncertainty Searches: A Technical Description

Health Systems, Heuristics, and Comparative Effectiveness Research

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

Machine-aided heuristic programming : a paradigm for knowledge engineering

Heuristics for knowledge acquisition from maps

Heuristic Modeling Using Rule-Based Computer Systems

A Heuristic Adjacent Extreme Point Algorithm for the Fixed Charge Problem.

The Heuristic Compiler

The Logic Theory Machine: A Model Heuristic Program

Oops! An unexpected error has occurred.

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Optimization Heuristics

Optimization Heuristics

Related Topics

Explore RAND’s Work on this Topic

Error

The Well-Tempered AI Assistant for Policy Processes: Approximately Optimizing AI Outputs to Empower Policy Discussions

Theater Air Base Resiliency Optimization Model (TAB-ROM): Analyst Guide for Version 2.0

Common Authorized Stockage Lists for the U.S. Army's Brigade Combat Teams

Portfolio Optimization by Means of Multiple Tandem Certainty-Uncertainty Searches: A Technical Description

Health Systems, Heuristics, and Comparative Effectiveness Research

Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

Machine-aided heuristic programming : a paradigm for knowledge engineering

Heuristics for knowledge acquisition from maps

Heuristic Modeling Using Rule-Based Computer Systems

A Heuristic Adjacent Extreme Point Algorithm for the Fixed Charge Problem.

The Heuristic Compiler

The Logic Theory Machine: A Model Heuristic Program

Oops! An unexpected error has occurred.