Category Archives: Optimization

Solvers for Scheduling and Routing Problems

Posted on April 16, 2024 by decisionmanagementcommunity

LocalSolver has been renamed to Hexaly which claims to be the world’s fastest optimization solver for Routing, Scheduling, and Packing problems. Link Check out also Timefold solver that handles the same problems and now inherited OptaPlanner after Red Hat announced … Continue reading →

Posted in Constraint Programming, Optimization, Scheduling and Resource Allocation, Vendors | Leave a comment

Solving an Optimization Problem by Don Knuth

Posted on April 13, 2024 by decisionmanagementcommunity

In 1960, the famed computer scientist Don Knuth wrote a technical paper in which he considered an integer programming model for minimizing memory access latency of an IBM 650. It included 51 variables and 43 constraints. Knuth ran Gomory’s algorithm on … Continue reading →

Posted in Algortithms, Optimization | Leave a comment

Focus on Decision-Making Under Uncertainty

Posted on March 24, 2024 by decisionmanagementcommunity

Meinoff Sellmann, a well-known expert in Operation Research (OR), gives this advice: “No surfer has ever surfed a wave by paddling to a place where others are already surfing the tube. In 2024, generative AI is the latest fashion. And … Continue reading →

Posted in Artificial Intelligence, Decision Making, Optimization, Uncertainty | Leave a comment

The seven levels of artificial intelligence by Warren B. Powell

Posted on January 31, 2024 by decisionmanagementcommunity

Link

Posted in Artificial Intelligence, Business Analytics, Business Rules, Decision Optimization, Knowledge Representation, Machine Learning, Optimization | Leave a comment

Practical Applications, Use Cases, and Testing (DC2023 Notes Part 3)

Posted on September 25, 2023 by jacobfeldman

As usual, DecisionCAMP included presentations devoted to practical applications and case studies of decision modeling and decision optimization. Testing rules-based decision services is extremely important topic in practical decision management especially in the modern CI/CD world. No wonder we had … Continue reading →

Posted in Case Studies, Decision Modeling, Decision Optimization, DecisionCAMP, DevOps, Optimization, Testing | Leave a comment

Large Language Models as Optimizers

Posted on September 15, 2023 by decisionmanagementcommunity

The article with this title was published on Sep 7, 2023. “In this work, we propose Optimization by PROmpting (OPRO), a simple and effective approach to leverage large language models (LLMs) as optimizers, where the optimization task is described in … Continue reading →

Posted in Algortithms, LLM, Optimization | Leave a comment

Business Process Optimization

Posted on September 11, 2023 by decisionmanagementcommunity

Prof. Marlon Dumas made this presentation at BPM-2023: Read more

Posted in Business Processes, Optimization | Leave a comment

AI4OPT: AI for Optimization

Posted on July 10, 2023 by decisionmanagementcommunity

AI4OPT, NSF Artificial Intelligence Research Institute for Advances in Optimization, aims at delivering a paradigm shift in automated decision making at massive scales by fusing AI and Mathematical Optimization, to deliver breakthroughs that neither field can achieve independently. The Institute … Continue reading →

Posted in Artificial Intelligence, Constraint Programming, Decision Optimization, Optimization | Leave a comment

About LLM Reasoning and Planning Abilities

Posted on June 12, 2023 by decisionmanagementcommunity

Today Yann LeCun wrote: “Auto-regressive LLM have very limited reasoning and planning abilities. I do not believe we can get anywhere close to human-level AI (even cat-level AI) without (1) learning world models from sensory inputs like video, (2) an … Continue reading →

Posted in Artificial Intelligence, LLM, Optimization, Reasoning | Leave a comment

MiniCP: A lightweight Java Constraint Programming Solver

Posted on May 19, 2023 by decisionmanagementcommunity

Many decision problems (logistics, production, space, etc.) aiming at an optimal use of resources can be formulated as constraint combinatorial optimization problems. Unfortunately, these problems are difficult to solve mainly for two reasons: 1) They require complex algorithms to design … Continue reading →

Posted in Constraint Programming, Optimization, Scheduling and Resource Allocation | Leave a comment