Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it... more Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it effectively uses exploration and exploitation to reach an optimal solution or near-optimal solution. However, the SMA uses two random search agents from the whole population to decide the future displacement and direction from the best search agents, which limits its exploitation and exploration. To solve this problem, we investigate an adaptive approach to decide whether opposition based learning (OBL) will be used or not. Sometimes the OBL is used to further increase the exploration. In addition, it maximizes the exploitation by replacing one random search agent with the best one in the position updating. The suggested technique is called an adaptive opposition slime mould algorithm (AOSMA). The qualitative and quantitative analysis of AOSMA is reported using 29 test functions consisting of 23 classical test functions and 6 recently used composition functions from the IEEE CEC 2014 te...
Current research work is designing the biological visual system which can emulate the human visua... more Current research work is designing the biological visual system which can emulate the human visual system. Image segmentation is one of the important initial steps in this area. There are different approaches to perform segmentation. One of the well-known techniques in image segmentation to separate objects from the background is Image thresholding. Segmentation using multiple thresholds is treated as an optimization problem in most of the cases. This can be done by maximizing or minimizing a given objective function. This paper presents a comparison of seven well known meta-heuristic techniques to obtain optimal threshold for multilevel thresholding problem: wind driven optimization, grey wolf optimization, firefly algorithm, whale optimization, crow optimization algorithm, and grasshopper optimization. Experimental results present the quantitative and qualitative measures of the different algorithms on multi-level thresholding problem with advantages and drawbacks.
The visual system is the ultimate model for computer vision systems. Face recognition is one of t... more The visual system is the ultimate model for computer vision systems. Face recognition is one of the essential biometric-based methods of computer vision from the perspective of safety and security. The research in face recognition has improved significantly during the way back 1970 to present based on the various classification technique. This paper presents a survey of some most significant classical 2D classification techniques in face recognition, the well-known face databases for evaluation of methods, and performance evaluation techniques.
... Institute For Technology & Management, Paralakhemundi, Orissa, 761211, India naik.manoj.k... more ... Institute For Technology & Management, Paralakhemundi, Orissa, 761211, India naik.manoj.kumar@gmail.com ... A., Konar, A.: On stability of chemotactic dynamics in bacterial foraging optimization algorithm ... 679 (2009) [4] Mishra, S.: A hybrid least square-fuzzy bacterial ...
Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it... more Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it effectively uses exploration and exploitation to reach an optimal solution or near-optimal solution. However, the SMA uses two random search agents from the whole population to decide the future displacement and direction from the best search agents, which limits its exploitation and exploration. To solve this problem, we investigate an adaptive approach to decide whether opposition based learning (OBL) will be used or not. Sometimes the OBL is used to further increase the exploration. In addition, it maximizes the exploitation by replacing one random search agent with the best one in the position updating. The suggested technique is called an adaptive opposition slime mould algorithm (AOSMA). The qualitative and quantitative analysis of AOSMA is reported using 29 test functions consisting of 23 classical test functions and 6 recently used composition functions from the IEEE CEC 2014 te...
Current research work is designing the biological visual system which can emulate the human visua... more Current research work is designing the biological visual system which can emulate the human visual system. Image segmentation is one of the important initial steps in this area. There are different approaches to perform segmentation. One of the well-known techniques in image segmentation to separate objects from the background is Image thresholding. Segmentation using multiple thresholds is treated as an optimization problem in most of the cases. This can be done by maximizing or minimizing a given objective function. This paper presents a comparison of seven well known meta-heuristic techniques to obtain optimal threshold for multilevel thresholding problem: wind driven optimization, grey wolf optimization, firefly algorithm, whale optimization, crow optimization algorithm, and grasshopper optimization. Experimental results present the quantitative and qualitative measures of the different algorithms on multi-level thresholding problem with advantages and drawbacks.
The visual system is the ultimate model for computer vision systems. Face recognition is one of t... more The visual system is the ultimate model for computer vision systems. Face recognition is one of the essential biometric-based methods of computer vision from the perspective of safety and security. The research in face recognition has improved significantly during the way back 1970 to present based on the various classification technique. This paper presents a survey of some most significant classical 2D classification techniques in face recognition, the well-known face databases for evaluation of methods, and performance evaluation techniques.
... Institute For Technology & Management, Paralakhemundi, Orissa, 761211, India naik.manoj.k... more ... Institute For Technology & Management, Paralakhemundi, Orissa, 761211, India naik.manoj.kumar@gmail.com ... A., Konar, A.: On stability of chemotactic dynamics in bacterial foraging optimization algorithm ... 679 (2009) [4] Mishra, S.: A hybrid least square-fuzzy bacterial ...
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