A Modified Whale Optimization Algorithm with Multi-Objective Criteria for Optimal Robot Path Planning

Research output: Other contributionResearchpeer-review

Abstract

Exploration and exploitation are the two important property of every search and optimization algorithm [1]. Exploration aims to visit entirely new region of a search space whilst, on the other hand exploitation focuses on those regions of a search space recently visited. To be successful, optimization algorithms need to setup a proper mechanism to achieve good exploration and exploitation. We propose a Modified Whale Optimization Algorithm (MWOA) with 2-additional parameters: whale memory and a new random search agent. Whale memory is introduced to enhance exploitation ability of the WOA, whilst on the hand exploitation is achieved through a new random search agent (rather than selecting a random search agent from existing population as with WOA select a new random search agent from the current population).
Original languageEnglish
Number of pages1
Publication statusPublished - 5 May 2019

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Motion planning
Robots
Data storage equipment

Keywords

  • algorithim
  • planning

Cite this

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title = "A Modified Whale Optimization Algorithm with Multi-Objective Criteria for Optimal Robot Path Planning",
abstract = "Exploration and exploitation are the two important property of every search and optimization algorithm [1]. Exploration aims to visit entirely new region of a search space whilst, on the other hand exploitation focuses on those regions of a search space recently visited. To be successful, optimization algorithms need to setup a proper mechanism to achieve good exploration and exploitation. We propose a Modified Whale Optimization Algorithm (MWOA) with 2-additional parameters: whale memory and a new random search agent. Whale memory is introduced to enhance exploitation ability of the WOA, whilst on the hand exploitation is achieved through a new random search agent (rather than selecting a random search agent from existing population as with WOA select a new random search agent from the current population).",
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author = "PANDEY, {HARI MOHAN}",
year = "2019",
month = "5",
day = "5",
language = "English",
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A Modified Whale Optimization Algorithm with Multi-Objective Criteria for Optimal Robot Path Planning. / PANDEY, HARI MOHAN.

1 p. 2019, .

Research output: Other contributionResearchpeer-review

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AB - Exploration and exploitation are the two important property of every search and optimization algorithm [1]. Exploration aims to visit entirely new region of a search space whilst, on the other hand exploitation focuses on those regions of a search space recently visited. To be successful, optimization algorithms need to setup a proper mechanism to achieve good exploration and exploitation. We propose a Modified Whale Optimization Algorithm (MWOA) with 2-additional parameters: whale memory and a new random search agent. Whale memory is introduced to enhance exploitation ability of the WOA, whilst on the hand exploitation is achieved through a new random search agent (rather than selecting a random search agent from existing population as with WOA select a new random search agent from the current population).

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