Results 81 to 90 of about 3,152,913 (284)

Substantiation of a heuristic algorithm in the knapsack problem

open access: yesNauka ta progres transportu, 2012
Introduction: Formed knapsack problem in terms of set functions and is a heuristic algorithm. The goal: to prove that the heuristic algorithm is essential. Some facts from [2].
Н.В. KHalipovа   +2 more
doaj  

Fast truck-packing of 3D boxes

open access: yesEngineering Management in Production and Services, 2018
We present formulation and heuristic solution of a container packing problem observed in a household equipment factory’s sales and logistics department. The main feature of the presented MIP model is combining several types of constraints following from ...
Józefowska Joanna   +4 more
doaj   +1 more source

A Modified Multi-Level Hyper Heuristic for Tackling Combinatorial Optimization Problems [PDF]

open access: yesIJCI International Journal of Computers and Information
Hyper-heuristics are search techniques that operate on heuristic spaces by selecting low-level heuristics appropriately. Hyper-heuristic aims to generate a generalized and automated approaches to solve various problem domains.
Asmaa Awad   +3 more
doaj   +1 more source

The Fleet Size and Mix vehicle Routing Problem with backhauls: Formulation and Set partitioning-based heuristics [PDF]

open access: yes, 2013
In this paper we present a new variant of the classical Vehicle Routing Problem – the Fleet Size and Mix Vehicle Routing Problem with Backhauls (FSMVRPB). An ILP formulation of the FSMVRPB is presented.
Hajarat, Mutaz   +2 more
core   +1 more source

WorMa: An Undulatory Robot With Center of Mass Regulation via Internal Fluid Redistribution for Amphibious Locomotion

open access: yesAdvanced Robotics Research, EarlyView.
WorMa is an amphibious undulatory robot that uses Center of Mass redistribution as the sole terrain adaptation mechanism. This mechanism is based on internal fluid mass redistribution through a pump‐driven latex balloon system that creates three profiles: head‐biased, balanced, and tail‐biased.
Daniil Filimonov, Nana Obayashi
wiley   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 more
wiley   +1 more source

Confidence in heuristic solutions?

open access: yes, 2014
Solutions to combinatorial optimization problems frequently rely on heuristics to minimize an objective function. The optimum is sought iteratively and pre-setting the number of iterations dominates in operations research applications, which implies that the quality of the solution cannot be ascertained.
Carling, Kenneth, Meng, Xiangli
openaire   +1 more source

Integrating Ecology and Economics in Agent‐Based Models to Support Agricultural Policy

open access: yesAdvanced Science, EarlyView.
Agent‐based models are valuable tools for studying social‐ecological systems in agriculture. This review maps how existing agent‐based models represent the human and natural domains of agriculture, and discusses developments in economic and ecological agent‐based modeling.
Daniel Vedder   +5 more
wiley   +1 more source

A graph-based hyper heuristic for timetabling problems [PDF]

open access: yes, 2006
This paper presents an investigation of a simple generic hyper-heuristic approach upon a set of widely used constructive heuristics (graph coloring heuristics) in timetabling.
Amnon Meisels   +14 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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