Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 2 (Advances in Intelligent Systems and Computing, 1139)

Preface
Contents
About the Editors
Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm
	1 Introduction
	2 Spider Monkey Optimization Algorithm (SMOA)
		2.1 Local Leader Stage (LLS)
		2.2 Global Leader Stage (GLS)
		2.3 Global Leader Learning Stage (GLLS)
		2.4 Local Leader Learning Stage (LLLS)
		2.5 Local Leader Decision Stage (LLDS)
		2.6 Global Leader Decision Stage (GLDS)
	3 Exponential Adaptive Strategy-Based SMOA
	4 Discussion and Analysis
	5 Conclusion
	References
Development of Fuzzy Knowledge-Based System for Water Quality Assessment in River Ganga
	1 Introduction
	2 Related Work
	3 Proposed Model
	4 Implementation and Result Analysis
	5 Conclusion and Future Scope
	References
A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm
	1 Introduction
	2 Related Literature
	3 The Proposed Framework
	4 The Flower Pollination Algorithm (FPA)
	5 Interval Type-2 Fuzzy Logic for Fire Outbreak Detection
	6 IT2FL-PFA Membership Function Encoding
	7 Results
	8 Conclusion
	References
Using Convolutional Neural Networks to Predict Colon Cancer Patients Survival
	1 Introduction
	2 Materials and Methods
		2.1 Data Set and Patient Cohorts
		2.2 Training Neural Networks
		2.3 Whole Slide Image Analysis
		2.4 Quantification
		2.5 Survival Analysis
	3 Results
		3.1 Tissue Region Classification
		3.2 Whole Slide Image Analysis
		3.3 Survival Analysis
	4 Discussion and Conclusion
	References
An Array P System Based on a Variant of Pure 2D Context-Free Grammars
	1 Introduction
	2 Preliminaries
	3 Array-Rewriting P System with Pure Context-Free Rules and (r/d) Mode of Derivation
	4 Conclusion
	References
Predictions of Weekly Slope Movements Using Moving-Average and Neural Network Methods: A Case Study in Chamoli, India
	1 Introduction
	2 Background
	3 Study Area
	4 Methodology
		4.1 Data Preprocessing
		4.2 Seasonal Autoregressive Integrated Moving Average
		4.3 Multilayer Perceptron (MLP)
		4.4 Long Short-Term Memory (LSTM)
		4.5 Optimization of Model Parameters
	5 Results
	6 Discussion and Conclusions
	References
Two-Stage History Matching for Hydrology Models via Machine Learning
	1 Introduction
	2 Materials and Methods
		2.1 Study Area
		2.2 LUCICAT HydroM
		2.3 Artificial Neural Network (ANN)
		2.4 History Matching Methods
		2.5 Simulation Settings
		2.6 Simulation System
	3 Result and Discussion
		3.1 Performance of Proxy Models
		3.2 History Matching Results
	4 Conclusion
	References
An Intelligent System for Diagnosis of Diabetic Retinopathy
	1 Introduction
	2 Literature Survey
	3 Important Terminologies
	4 Proposed Intelligent System for Diabetic Retinopathy (ISDR)
		4.1 Image Enhancement
		4.2 Image Segmentation
		4.3 Classification
	5 Results and Discussions
		5.1 Pre-processing
		5.2 Classification
	6 Conclusion and Future Works
	References
Markov Chain Models for the Near Real-Time Forecasting of Australian Football League Match Outcomes
	1 Introduction
	2 Methods
		2.1 Data Acquisition
		2.2 Data Processing
		2.3 Data Analysis
	3 Results
	4 Discussion
	5 Conclusion
	References
Genetically Optimized Deep Neural Learning for Breast Cancer Prediction
	1 Introduction
	2 Existing Work
	3 Preliminaries
		3.1 Deep Neural Network (DNN)
		3.2 Neuro-evolution Model
		3.3 Genetic Algorithm
	4 Proposed Work
		4.1 Genetically Optimized Deep Neural Network (GODNN)
	5 Experimental Results
		5.1 Dataset
		5.2 Result
	6 Conclusion
	References
Optimization of Lycopene Extraction from Tomato Processing Waste Skin Using Harmony Search Algorithm
	1 Introduction
	2 Harmony Search Algorithm (HS)
	3 Materials and Methods
		3.1 Material
		3.2 Sample Preparation
		3.3 Proximate Analysis
		3.4 Pigment Extraction
	4 Experimental Design
		4.1 Proposed Methodology of Optimizing Lycopene Extraction Using Harmony Search Algorithm
		4.2 Comparison of Harmony Search with Particle Swarm Optimization
	5 Conclusion and Claim
	References
Meme-Based Computational Optimization Framework
	1 Introduction
	2 Multiple Memes in Evolutionary Algorithms
	3 Memes Generation Through Meta-Meme Framework
	4 Combinatorial Optimization Case Study
	5 Conclusions
	References
Heterogeneous Multi-robot Mission Planning for Coordinated Tasks Execution
	1 Introduction
	2 Problem Definition
	3 System Architecture
	4 Mission Planning
	5 Conclusions
	References
Development of Cost-Effective Endurance Test Rig with Integrated Algorithm for Safety
	1 Introduction
	2 Materials and Methods
		2.1 Hardware
		2.2 Software
		2.3 Design, Fabrication, and Integration
	3 Design of the Algorithm
	4 Results
		4.1 Calibration
		4.2 Hardware’s Outcome
		4.3 Software’s Outcome
	5 Conclusions and Future Works
	References
Development of an Algorithm for the EMG Control of Prosthetic Hand
	1 Introduction
	2 Materials and Methods
		2.1 The Processing Environment
		2.2 The Myo Bracelet
	3 The EMG Graphical User Interface
	4 Preliminary Tests
	5 Conclusion
	References
Improving Data Quality in the Cargo Industry with Modern Recurrent Neural Network Architecture
	1 Introduction
	2 Related Work
	3 Method
	4 Discussion and Results
	5 Conclusion and On-Going Research
	References
Temporal Convolution in Spiking Neural Networks: A Bio-mimetic Paradigm
	1 Deep Learning and Recurrent Spiking Neural Networks
		1.1 The Weight Transport Problem and Credit Assignment
		1.2 Representation of Weights in SNNs
	2 The Other Brain
	3 A Simple Model
	4 Proposed Systems
		4.1 Diffusion Model
		4.2 Wave Propagation Model
	5 Conclusion
	References
Author Index