Results 71 to 80 of about 13,809 (278)

Makespan - Right Normal Distributed Dataset.

open access: yes, 2016
Makespan - Right Normal Distributed Dataset.
Mohammed Abdullahi (846140)   +1 more
core   +1 more source

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz   +5 more
wiley   +1 more source

MINIMIZING THE MAKESPAN FOR UNRELATED PARALLEL MACHINES [PDF]

open access: yesInternational Journal on Artificial Intelligence Tools, 2007
In this paper, we study the unrelated parallel machine problem for minimizing the makespan, which is NP-hard. We used Simulated Annealing (SA) and Tabu Search (TS) with Neighborhood Search (NS) based on the structure of the problem. We also used a modified SA algorithm, which gives better results than the traditional SA and developed an effective ...
Yunsong Guo   +3 more
openaire   +2 more sources

Exponential Size Neighborhoods for Makespan Minimization Scheduling [PDF]

open access: yes, 2011
We investigate the quality of local search heuristics for the scheduling problem of minimizing the makespan on identical parallel machines. We study exponential size neighborhoods (whose size grows exponentially with the input length) that can be ...
Brüggemann, T.   +7 more
core   +1 more source

Mapping Quantum Computing Techniques for NP‐Hard Problems in Operations Management and Operations Research

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad   +3 more
wiley   +1 more source

A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning

open access: yesIEEE Access
This work presents an innovative method for scheduling tasks in a fog computing environments by combining the fuzzy logic with deep reinforcement learning.
Prashanth Choppara   +1 more
doaj   +1 more source

Makespan - Left Normal Distributed Dataset.

open access: yes, 2016
Makespan - Left Normal Distributed Dataset.
Mohammed Abdullahi (846140)   +1 more
core   +1 more source

Genetic Algorithm Based Multipath Optimization for Multimobile Robot Navigations

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
Multimobile Robot Flow Network Problem (MMRNP) is to find optimum navigation paths in a network without robot collisions. In this paper, we present a heuristic approach using Genetic Algorithm (GA) to achieve the near‐optimal solution. We propose a new population initialization for our GA with different operators.
K. Somasundaram, Juha Plosila
wiley   +1 more source

Performance Improvement Rate (%) on Makespan.

open access: yes, 2016
Performance Improvement Rate (%) on Makespan.
Gaddafi Abdul-Salaam (3158541)   +3 more
core   +1 more source

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