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What is Heuristic

Chapter 3
Handbook of Research on the Applications of International Transportation and Logistics for World Trade
The mental process that enables people to solve problems by experimental methods.
Published in Chapter:
An Assessment for Classification of Distribution Network Design
Gökçe Çiçek Ceyhun (Bursa Technical University, Turkey)
Copyright: © 2020 |Pages: 14
DOI: 10.4018/978-1-7998-1397-2.ch003
Abstract
Distribution consists of moving and storing a product from the supplier to customer during the supply chain process. Distribution process is crucial decision of a company due to its effects on supply chain cost and customer satisfaction. In the competitive environment of the business, all companies aim to minimize delivery costs and maximize customer satisfaction by applying optimum distribution network design. The design of effective distribution network requires critical decisions as the location and the capacity of distribution centers together with logistic activities, which consist of transportation and inventory process. The purpose of this research is to define a deep literature review regarding definition of distribution network, distribution channels, selection of distribution, and the factors affecting distribution network design. After reviewing a comprehensive literature on distribution network design, this chapter includes suggestions.
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Chapter 73
Different Approaches for Cooperation with Metaheuristics
A method or approach that tries to apply expert knowledge in the resolution of a problem with the aim of increasing the probability of solving it.
Published in Chapter: Different Approaches for Cooperation with Metaheuristics; From: Encyclopedia of Artificial Intelligence
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Chapter 7
Loss Aversion in Companies Whose Location Is Affected by Fire
A mental shortcut that allows people to solve problems and make judgments quickly and efficiently. Heuristics are helpful in many situations, but they can also lead to cognitive biases.
Published in Chapter: Loss Aversion in Companies Whose Location Is Affected by Fire; From: Handbook of Research on New Challenges and Global Outlooks in Financial Risk Management
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Chapter 596
Template Matching in Digital Images with Swarm Intelligence
An approach to solve a hard problem, but there are no guaranties that the optimal solution is achieved.
Published in Chapter: Template Matching in Digital Images with Swarm Intelligence; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 8
Strategies for Planning, Developing, and Implementing a Heuristic for Inclusive Instructional Design for Higher Education Settings
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Chapter 128
Creating Software System Context Glossaries
It is a set of guidelines to help people to use others’ experience to improve performance in a given task.
Published in Chapter: Creating Software System Context Glossaries; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 665
Social Influence Online
A mental shortcut for problem solving designed to conserve time and cognitive load but may not deliver the optimal solution.
Published in Chapter: Social Influence Online; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 270
Heuristics in Medical Data Mining
From the Greek “heuriskein,” meaning “to discover.” A heuristic aids discovery, particularly the search for solutions in domains that are difficult and poorly understood. It is commonly known as a “rule of thumb.” Unlike algorithms, heuristics do not guarantee optimal or even feasible solutions and frequently do not have a theoretical guarantee.
Published in Chapter: Heuristics in Medical Data Mining; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 24
How Can Education Use Artificial Intelligence?: A Brief History of AI, Its Usages, Its Successes, and Its Problems When Applied to Education.
A way to reach a non-perfect or optimal solution in a very complex problem. Heuristics are relatively simple shortcut or “rule of thumb” that can help in solving problem even if the problem is not perfectly solved.
Published in Chapter: How Can Education Use Artificial Intelligence?: A Brief History of AI, Its Usages, Its Successes, and Its Problems When Applied to Education.; From: Handbook of Research on Teaching With Virtual Environments and AI
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Chapter 82
A Fuzzy Multi-Agent System for Combinatorial Optimization
The name is originally derived from the Greek “heuriskein” (“to find”). Particular technique of directing one’s attention in learning, discovery, or problem-solving. In computer science context is an algorithm that gives up with probably good run times and with probably good or optimal solution quality (Blum, 2003; Melian et al., 2003).
Published in Chapter: A Fuzzy Multi-Agent System for Combinatorial Optimization; From: Encyclopedia of Networked and Virtual Organizations
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Chapter 4
Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering
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Chapter 90
Product Evaluation Services for E-Commerce
A set of rules intended to increase probability of solving problem.
Published in Chapter: Product Evaluation Services for E-Commerce; From: Encyclopedia of Information Communication Technology
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Chapter 91
Evolutionary Grammatical Inference
Function used for making certain decisions within an algorithm
Published in Chapter: Evolutionary Grammatical Inference; From: Encyclopedia of Artificial Intelligence
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Chapter 3
Stochastic Optimization Algorithms
Non-exact method used to find a good solution, usually based on trial and error.
Published in Chapter: Stochastic Optimization Algorithms; From: Handbook of Research on Nature-Inspired Computing for Economics and Management
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Chapter 7
Insights Into Simulated Annealing
A low level method allowing to construct a feasible solution for a given problem. Due to its constructive aspect, meta-heuristics often involve one or more heuristic to construct initial or intermediate solutions.
Published in Chapter: Insights Into Simulated Annealing; From: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
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Chapter 12
Metaheuristics Approaches to Solve the Employee Bus Routing Problem With Clustering-Based Bus Stop Selection
An optimization method that tries to exploit problem-specific knowledge and for which we have no guarantee that it finds the optimal solution.
Published in Chapter: Metaheuristics Approaches to Solve the Employee Bus Routing Problem With Clustering-Based Bus Stop Selection; From: Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
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Chapter 7
Applying CI in Biology through PSO
Rule or method based on trial and method that helps us to solve problems quicker.
Published in Chapter: Applying CI in Biology through PSO; From: Handbook of Research on Computational Intelligence Applications in Bioinformatics
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Chapter 9
Artificial Intelligence
A rule of thumb used to reach a conclusion using only partial knowledge. While not guaranteed to be perfect, the heuristic should provide a reasonable approximation of a correct solution.
Published in Chapter: Artificial Intelligence; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 5
Order Picking Optimization Based on a Picker Routing Heuristic: Minimizing Total Traveled Distance in Warehouses
Is any approach to problem-solving that employs a practical method, sufficient for reaching an immediate goal within reasonable computing times. A heuristic does not guarantee an optimal solution.
Published in Chapter: Order Picking Optimization Based on a Picker Routing Heuristic: Minimizing Total Traveled Distance in Warehouses; From: Handbook of Research on the Applications of International Transportation and Logistics for World Trade
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Chapter 5
Practical Approach for Apps Design in Compliance With Accessibility, Usability, and User Experience
Inspection technique that helps identify usability problems in an interface. In this inspection, usability experts examine and judge whether each element of the interface conforms to usability principles (heuristics).
Published in Chapter: Practical Approach for Apps Design in Compliance With Accessibility, Usability, and User Experience; From: App and Website Accessibility Developments and Compliance Strategies
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Chapter 17
Stepping into the Role of Professional Writer
Applied to arguments and methods of demonstration which are persuasive rather than logically compelling, or which lead a person to find out for himself/herself.
Published in Chapter: Stepping into the Role of Professional Writer; From: Handbook of Research on Electronic Collaboration and Organizational Synergy
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Chapter 25
Prediction, Detection, and Mitigation of DDoS Attacks Using HPCs: Design for a Safer Adaptive Infrastructure
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Chapter 46
Current Issues and Future Trends of Clinical Decision Support Systems (CDSS)
An algorithmic technique designed to solve a problem that ignores whether the solution can be proven to be correct.
Published in Chapter: Current Issues and Future Trends of Clinical Decision Support Systems (CDSS); From: Encyclopedia of Healthcare Information Systems
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Chapter 150
Learning Nash Equilibria in Non-Cooperative Games
In computer science, a technique designed to solve a problem which allows for gaining computational performance or conceptual simplicity potentially at the cost of accuracy and/or precision of the provided solutions to the problem itself.
Published in Chapter: Learning Nash Equilibria in Non-Cooperative Games; From: Encyclopedia of Artificial Intelligence
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Chapter 214
Stationary Density of Stochastic Search Processes
Is any algorithm that finds a good quality solution to a problem in a reasonable run time.
Published in Chapter: Stationary Density of Stochastic Search Processes; From: Encyclopedia of Artificial Intelligence
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Chapter 11
Clustering Methods for Gene-Expression Data
An empirical method of solving a problem which does not necessarily reflect the underlying nature of the problem.
Published in Chapter: Clustering Methods for Gene-Expression Data; From: Handbook of Research on Systems Biology Applications in Medicine
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Chapter 276
History of Artificial Intelligence
General advice that is usually efficient but sometimes cannot be used; also it is a validate function that adds a number to the state of the problem.
Published in Chapter: History of Artificial Intelligence; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 4
A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints
A heuristic is a mental shortcut that allows people to solve problems and make judgments quickly and efficiently.
Published in Chapter: A Heuristic Approach for Car Sequencing Problem Including Assembly Ratio and Color Constraints; From: Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems
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Chapter 6
The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution
Is a mental shortcut that allows people to solve problems and make judgments quickly and efficiently.
Published in Chapter: The Traveling Salesman Problem: Network Properties, Convex Quadratic Formulation, and Solution; From: Research Advancements in Smart Technology, Optimization, and Renewable Energy
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Chapter 5
Experience Evaluation in Virtual Environments on Using an Accessible Prototype
Set of rules used in design to evaluate or develop a product or a system.
Published in Chapter: Experience Evaluation in Virtual Environments on Using an Accessible Prototype; From: Open and Social Learning in Impact Communities and Smart Territories
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Chapter 3
A Look at Cognitive Biases Violating Utilitarianism
A heuristic is a simple procedure which enables to find adequate but frequently imperfect answers to difficult questions ( Kahneman, 2011 ).
Published in Chapter: A Look at Cognitive Biases Violating Utilitarianism; From: Overcoming Cognitive Biases in Strategic Management and Decision Making
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Chapter 9
Optimization as One of the Basic Supports of Industry 4.0
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Chapter 1
Thinking Critically About the Fourth Industrial Revolution as a Wicked Problem
A mental shortcut that generally allows quick and efficient judgement or decision-making but can lead to bias under certain situations.
Published in Chapter: Thinking Critically About the Fourth Industrial Revolution as a Wicked Problem; From: Handbook of Research on Using Global Collective Intelligence and Creativity to Solve Wicked Problems
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