On the public citation graph
CHAC, A MOACO algorithm for computation of bi-criteria military unit path in the battlefield: Presentation and first results
0 signed · 26 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-44719-9_25openalex-snapshot
Bi-Criterion Optimization with Multi Colony Ant Algorithms
inferredcites →https://doi.org/10.1016/j.cor.2005.06.016openalex-snapshot
Optimization of transportation requirements in the deployment of military units
inferredcites →https://doi.org/10.1016/j.ejor.2006.03.041openalex-snapshot
A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP
inferredcites →https://doi.org/10.1016/s1568-4946(02)00027-3openalex-snapshot
An immunity-based ant colony optimization algorithm for solving weapon–target assignment problem
inferredcites →https://doi.org/10.1109/3468.736370openalex-snapshot
Shortest path planning on topographical maps
inferredcites →https://doi.org/10.1109/4235.797969openalex-snapshot
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
inferredcites →https://doi.org/10.1109/naecon.1989.40326openalex-snapshot
An application of neural net technology to surveillance information correlation and battle outcome prediction
inferredcites →https://doi.org/10.1109/robot.1994.351061openalex-snapshot
Optimal and efficient path planning for partially-known environments
inferredcites →https://doi.org/10.11509/isciesci.44.10_611openalex-snapshot
2000 Genetic and Evolutionary Computation Conference (GECCO-2000)
inferredcites →https://doi.org/10.5711/morj.10.1.25openalex-snapshot
Planning Dissimilar Paths for Military Units
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/int.22396openalex-snapshot
Simplified bacterial foraging optimization with quorum sensing for global optimization
inferred← citeshttps://doi.org/10.1007/978-3-642-30154-4_3openalex-snapshot
Parallel Approaches in MOACOs for Solving the Bi-criteria TSP: A Preliminary Study
inferred← citeshttps://doi.org/10.1007/s00158-017-1749-6openalex-snapshot
Lightweight optimization of the side structure of automobile body using combined grey relational and principal component analysis
inferred← citeshttps://doi.org/10.1007/s00158-017-1778-1openalex-snapshot
Structure-material integrated multi-objective lightweight design of the front end structure of automobile body
inferred← citeshttps://doi.org/10.1007/s00158-023-03656-zopenalex-snapshot
Structure–connection–performance integration lightweight optimisation design of multi-material automotive body skeleton
inferred← citeshttps://doi.org/10.1007/s00500-013-0993-yopenalex-snapshot
Pareto-based multi-colony multi-objective ant colony optimization algorithms: an island model proposal
inferred← citeshttps://doi.org/10.1007/s10845-017-1298-2openalex-snapshot
A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103512openalex-snapshot
SSMO-Frame: A small-sample multi-objective integrated optimization framework for vehicle body structure
inferred← citeshttps://doi.org/10.1016/j.cor.2011.11.015openalex-snapshot
hCHAC: A family of MOACO algorithms for the resolution of the bi-criteria military unit pathfinding problem
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.07.052openalex-snapshot
Analyzing the impact of MOACO components: An algorithmic study on the multi-objective shortest path problem
inferred← citeshttps://doi.org/10.1080/0305215x.2017.1378875openalex-snapshot
Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives
inferred← citeshttps://doi.org/10.1080/10106049.2019.1595176openalex-snapshot
An improved ant colony optimization-based algorithm for user-centric multi-objective path planning for ubiquitous environments
inferred← citeshttps://doi.org/10.1109/cec.2008.4631272openalex-snapshot
Influence of parameters on the performance of a MOACO algorithm for solving the bi-criteria military path-finding problem
inferred← citeshttps://doi.org/10.1109/tciaig.2012.2212194openalex-snapshot
AntBot: Ant Colonies for Video Games
inferred← citeshttps://doi.org/10.2514/1.a36129openalex-snapshot
Multirobot Assembly Sequence Planning of a Large Space Telescope
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.