Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art
CAC Coello - Computer methods in applied mechanics and …, 2002 - Elsevier
This paper provides a comprehensive survey of the most popular constraint-handling
techniques currently used with evolutionary algorithms. We review approaches that go from …
techniques currently used with evolutionary algorithms. We review approaches that go from …
[PDF][PDF] Optimal path planning of mobile robots: A review
P Raja, S Pugazhenthi - International journal of physical …, 2012 - academicjournals.org
Mobile robots are increasingly used in automated industrial environments. There are also
other applications like planet exploration, surveillance, landmine detection, etc. In all these …
other applications like planet exploration, surveillance, landmine detection, etc. In all these …
Meta-heuristic approach for solving multi-objective path planning for autonomous guided robot using PSO–GWO optimization algorithm with evolutionary …
As path planning is an NP-hard problem it can be solved by multi-objective algorithms. In
this article, we propose a multi-objective path planning algorithm which consists of three …
this article, we propose a multi-objective path planning algorithm which consists of three …
A survey on home energy management
Energy is a vital resource for human activities and lifestyle, powering important everyday
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …
infrastructures and services. Currently, pollutant and non-renewable sources, such as fossil …
Bezier curve based path planning in a dynamic field using modified genetic algorithm
Mobile robots have been used in different applications such as assembly, transportation,
and manufacturing. Although, the great work to get the optimum robot's path, traditional path …
and manufacturing. Although, the great work to get the optimum robot's path, traditional path …
Mobile robot path planning using artificial bee colony and evolutionary programming
MA Contreras-Cruz, V Ayala-Ramirez… - Applied Soft …, 2015 - Elsevier
In this paper, an evolutionary approach to solve the mobile robot path planning problem is
proposed. The proposed approach combines the artificial bee colony algorithm as a local …
proposed. The proposed approach combines the artificial bee colony algorithm as a local …
A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning
This paper proposed a new methodology to determine the optimal trajectory of the path for
multi-robot in a clutter environment using hybridization of improved particle swarm …
multi-robot in a clutter environment using hybridization of improved particle swarm …
[引用][C] How to Solve it: Modern Heuristics
Z Michalewicz - 2013 - books.google.com
No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've
been very fortunate to receive fantastic feedback from our readers during the last four years …
been very fortunate to receive fantastic feedback from our readers during the last four years …
Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators
PK Das, PK Jena - Applied Soft Computing, 2020 - Elsevier
The highlight of this paper is to propose an innovative approach to compute an optimal
collision free trajectory path for each robot in a known and complex environment. The …
collision free trajectory path for each robot in a known and complex environment. The …
[图书][B] Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
A Konar - 2018 - taylorfrancis.com
With all the material available in the field of artificial intelligence (AI) and soft computing-
texts, monographs, and journal articles-there remains a serious gap in the literature. Until …
texts, monographs, and journal articles-there remains a serious gap in the literature. Until …